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<title>UniMitra Skills</title>
<link>https://unimitra.live/skills/</link>
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<description>Free, job-description-driven roadmaps from zero to interview-ready for data, AI, cloud, security and software roles, with real projects and sourced salaries.</description>
<language>en-IN</language>
<item><title>Lol</title><link>https://unimitra.live/learn/vulnerability-management/managing-vulnerabilities/lol/</link><guid>https://unimitra.live/learn/vulnerability-management/managing-vulnerabilities/lol/</guid><pubDate>Wed, 07 Oct 2026 07:31:54 GMT</pubDate><description></description></item>
<item><title>SQL isolation levels, locks and deadlocks</title><link>https://unimitra.live/learn/sql/query-performance/sql-isolation-levels-locking/</link><guid>https://unimitra.live/learn/sql/query-performance/sql-isolation-levels-locking/</guid><pubDate>Fri, 02 Oct 2026 12:08:25 GMT</pubDate><description>Reproduce lost updates, non-repeatable reads, write skew and deadlocks with two PostgreSQL sessions, then fix each with the right isolation level or lock.</description></item>
<item><title>SQL query optimization: rewrite slow queries</title><link>https://unimitra.live/learn/sql/query-performance/sql-query-optimization/</link><guid>https://unimitra.live/learn/sql/query-performance/sql-query-optimization/</guid><pubDate>Fri, 02 Oct 2026 11:56:20 GMT</pubDate><description>Find the queries that cost the most with pg_stat_statements, then speed them up with six proven rewrites, each measured before and after and checked for the same answer.</description></item>
<item><title>Hash join vs nested loop vs merge join</title><link>https://unimitra.live/learn/sql/query-performance/sql-join-algorithms/</link><guid>https://unimitra.live/learn/sql/query-performance/sql-join-algorithms/</guid><pubDate>Fri, 02 Oct 2026 11:46:37 GMT</pubDate><description>How databases join tables with nested loops, hash joins and merge joins, how to read each one in a PostgreSQL plan, and how a bad row estimate picks the wrong one.</description></item>
<item><title>SQL composite indexes and covering indexes</title><link>https://unimitra.live/learn/sql/query-performance/sql-composite-covering-indexes/</link><guid>https://unimitra.live/learn/sql/query-performance/sql-composite-covering-indexes/</guid><pubDate>Fri, 02 Oct 2026 11:39:17 GMT</pubDate><description>Compare composite index column orders on real data, apply the leftmost prefix rule, build covering, partial and expression indexes, and measure what indexes cost on writes.</description></item>
<item><title>SQL views vs materialized views</title><link>https://unimitra.live/learn/sql/relational-design/sql-views-materialized-views/</link><guid>https://unimitra.live/learn/sql/relational-design/sql-views-materialized-views/</guid><pubDate>Fri, 02 Oct 2026 11:25:06 GMT</pubDate><description>Build a cleaning view and a monthly revenue materialized view on real data, catch the materialized view going stale, refresh it without blocking readers, and use views for security.</description></item>
<item><title>SQL UPSERT and MERGE: insert or update rows</title><link>https://unimitra.live/learn/sql/relational-design/sql-upsert-merge/</link><guid>https://unimitra.live/learn/sql/relational-design/sql-upsert-merge/</guid><pubDate>Fri, 02 Oct 2026 11:19:50 GMT</pubDate><description>Load overlapping daily files with INSERT ON CONFLICT and MERGE, catch duplicate source keys, fix a check-then-insert race, and build a watermark incremental load.</description></item>
<item><title>SQL transactions and ACID: COMMIT and ROLLBACK</title><link>https://unimitra.live/learn/sql/relational-design/sql-transactions-acid/</link><guid>https://unimitra.live/learn/sql/relational-design/sql-transactions-acid/</guid><pubDate>Fri, 02 Oct 2026 11:13:18 GMT</pubDate><description>Kill a real monthly load halfway with and without a transaction, then make it safe to re-run with BEGIN, COMMIT, ROLLBACK, savepoints and a rejects table.</description></item>
<item><title>Database normalization: 1NF, 2NF, 3NF with examples</title><link>https://unimitra.live/learn/sql/relational-design/sql-normalization/</link><guid>https://unimitra.live/learn/sql/relational-design/sql-normalization/</guid><pubDate>Fri, 02 Oct 2026 11:01:28 GMT</pubDate><description>Normalize a real flat sales table: test functional dependencies with SQL, split it into 1NF, 2NF and 3NF tables, prove nothing was lost, and know when to denormalise.</description></item>
<item><title>SQL funnel analysis: conversion rates step by step</title><link>https://unimitra.live/learn/sql/sql-for-analysis/sql-funnel-analysis/</link><guid>https://unimitra.live/learn/sql/sql-for-analysis/sql-funnel-analysis/</guid><pubDate>Fri, 02 Oct 2026 10:53:24 GMT</pubDate><description>Build funnels in SQL the careful way on real orders: strict vs any-order steps, time windows, step and overall conversion, segments, sessions with LAG, and the dirty events that inflate funnels.</description></item>
<item><title>SQL pivot: rows to columns and unpivot</title><link>https://unimitra.live/learn/sql/sql-for-analysis/sql-pivot-conditional-aggregation/</link><guid>https://unimitra.live/learn/sql/sql-for-analysis/sql-pivot-conditional-aggregation/</guid><pubDate>Fri, 02 Oct 2026 10:47:51 GMT</pubDate><description>Pivot rows to columns in SQL with conditional aggregation, the PIVOT keyword, dynamic pivots and crosstab, then unpivot back and prove nothing was lost, on real sales and payments data.</description></item>
<item><title>SQL string functions: TRIM, SUBSTRING, REPLACE and regex</title><link>https://unimitra.live/learn/sql/sql-for-analysis/sql-string-functions-regex/</link><guid>https://unimitra.live/learn/sql/sql-for-analysis/sql-string-functions-regex/</guid><pubDate>Fri, 02 Oct 2026 10:40:43 GMT</pubDate><description>Clean messy text in SQL on real data: TRIM and hidden spaces, SUBSTRING and POSITION, REPLACE and regex, SPLIT_PART, CONCAT with NULLs and STRING_AGG, with the dialect differences that trip people up.</description></item>
<item><title>SQL date functions: DATE_TRUNC, EXTRACT and intervals</title><link>https://unimitra.live/learn/sql/sql-for-analysis/sql-date-time-functions/</link><guid>https://unimitra.live/learn/sql/sql-for-analysis/sql-date-time-functions/</guid><pubDate>Fri, 02 Oct 2026 10:19:16 GMT</pubDate><description>Group by week and month, measure durations, handle ISO weeks, Indian fiscal years, time zones and ambiguous date strings, and fill missing days with a calendar.</description></item>
<item><title>Remove duplicate rows in SQL with ROW_NUMBER</title><link>https://unimitra.live/learn/sql/window-functions/sql-remove-duplicates/</link><guid>https://unimitra.live/learn/sql/window-functions/sql-remove-duplicates/</guid><pubDate>Fri, 02 Oct 2026 10:10:10 GMT</pubDate><description>Find exact and business-key duplicates, decide whether they are errors or real repeats, keep one row per key with ROW_NUMBER or DISTINCT ON, and stop them coming back.</description></item>
<item><title>SQL percentiles and median: PERCENTILE_CONT and NTILE</title><link>https://unimitra.live/learn/sql/window-functions/sql-percentiles-ntile/</link><guid>https://unimitra.live/learn/sql/window-functions/sql-percentiles-ntile/</guid><pubDate>Fri, 02 Oct 2026 10:07:09 GMT</pubDate><description>Compute medians, p90 and p99 per group, customer deciles with NTILE and percentile ranks, in PostgreSQL, DuckDB and without any percentile function at all.</description></item>
<item><title>SQL INSERT, UPDATE and DELETE without breaking data</title><link>https://unimitra.live/learn/sql/sql-modifying-data/sql-insert-update-delete/</link><guid>https://unimitra.live/learn/sql/sql-modifying-data/sql-insert-update-delete/</guid><pubDate>Fri, 02 Oct 2026 09:55:19 GMT</pubDate><description>Change data the safe way: INSERT with RETURNING, UPDATE with a join, DELETE vs TRUNCATE vs DROP, and the preview, BEGIN, check, COMMIT routine, on real retail data.</description></item>
<item><title>SQL CREATE TABLE with primary keys and foreign keys</title><link>https://unimitra.live/learn/sql/sql-modifying-data/sql-create-table-constraints/</link><guid>https://unimitra.live/learn/sql/sql-modifying-data/sql-create-table-constraints/</guid><pubDate>Fri, 02 Oct 2026 09:48:34 GMT</pubDate><description>Design real tables with primary keys, foreign keys, UNIQUE, CHECK and defaults in PostgreSQL, and watch each constraint stop bad rows from a messy retail export.</description></item>
<item><title>SQL subqueries: IN, EXISTS and correlated subqueries</title><link>https://unimitra.live/learn/sql/joins/sql-subqueries-exists/</link><guid>https://unimitra.live/learn/sql/joins/sql-subqueries-exists/</guid><pubDate>Fri, 02 Oct 2026 09:37:35 GMT</pubDate><description>Use scalar, derived-table and correlated subqueries, choose EXISTS over a join when you must not duplicate rows, and see on real data why NOT IN returns nothing the moment a NULL appears.</description></item>
<item><title>SQL join fan-out: avoid double counting rows</title><link>https://unimitra.live/learn/sql/joins/sql-join-fan-out/</link><guid>https://unimitra.live/learn/sql/joins/sql-join-fan-out/</guid><pubDate>Fri, 02 Oct 2026 09:35:29 GMT</pubDate><description>See why revenue jumps by millions when you join orders to items and payments together, catch duplicate rows from joins with a one-line check, and fix them by aggregating each table to the right grain first.</description></item>
<item><title>SQL FULL OUTER JOIN, CROSS JOIN and SELF JOIN</title><link>https://unimitra.live/learn/sql/joins/sql-full-outer-cross-self-join/</link><guid>https://unimitra.live/learn/sql/joins/sql-full-outer-cross-self-join/</guid><pubDate>Fri, 02 Oct 2026 09:31:40 GMT</pubDate><description>Reconcile two lists with FULL OUTER JOIN, fill missing months with a CROSS JOIN grid, compare rows of the same table with a SELF JOIN, and join on ranges, all on half a million real retail transactions.</description></item>
<item><title>Normal distribution and z-scores</title><link>https://unimitra.live/learn/statistics/probability/stats-normal-distribution/</link><guid>https://unimitra.live/learn/statistics/probability/stats-normal-distribution/</guid><pubDate>Fri, 02 Oct 2026 09:21:36 GMT</pubDate><description>Fit normal curves to penguin body mass, check the fit with Q-Q plots, compute areas and percentiles with scipy.stats.norm, and see why taxi fares need a log-normal and why z-score outlier rules fail on skewed data.</description></item>
<item><title>Binomial and Poisson distributions with examples</title><link>https://unimitra.live/learn/statistics/probability/stats-binomial-poisson/</link><guid>https://unimitra.live/learn/statistics/probability/stats-binomial-poisson/</guid><pubDate>Fri, 02 Oct 2026 09:20:35 GMT</pubDate><description>Model sign-ups from a batch of calls as binomial and taxi pickups per minute as Poisson, compute probabilities with scipy.stats, and catch overdispersion on real data before it fools your forecast.</description></item>
<item><title>Bayes theorem explained with real examples</title><link>https://unimitra.live/learn/statistics/probability/stats-bayes-theorem/</link><guid>https://unimitra.live/learn/statistics/probability/stats-bayes-theorem/</guid><pubDate>Fri, 02 Oct 2026 09:19:23 GMT</pubDate><description>Work out why a fraud detector that is 99% accurate is wrong most of the time it fires, verify it by simulating a million transactions, and update real bank marketing probabilities one piece of evidence at a time.</description></item>
<item><title>Probability basics: rules and conditional probability</title><link>https://unimitra.live/learn/statistics/probability/stats-probability-basics/</link><guid>https://unimitra.live/learn/statistics/probability/stats-probability-basics/</guid><pubDate>Fri, 02 Oct 2026 09:18:18 GMT</pubDate><description>Compute probabilities, conditional probabilities and expected values from 41,188 real bank marketing calls, test independence by hand, and check the classic interview puzzles by simulation.</description></item>
<item><title>Correlation vs causation: Pearson and Spearman</title><link>https://unimitra.live/learn/statistics/describing-data/stats-correlation/</link><guid>https://unimitra.live/learn/statistics/describing-data/stats-correlation/</guid><pubDate>Fri, 02 Oct 2026 09:17:26 GMT</pubDate><description>Compute Pearson, Spearman and Kendall correlations on real penguin and taxi data, watch one bad row destroy a correlation of 0.95, reproduce Simpson&apos;s paradox, and explain why correlation is not causation.</description></item>
<item><title>Variance and standard deviation explained</title><link>https://unimitra.live/learn/statistics/describing-data/stats-variance-standard-deviation/</link><guid>https://unimitra.live/learn/statistics/describing-data/stats-variance-standard-deviation/</guid><pubDate>Fri, 02 Oct 2026 09:16:22 GMT</pubDate><description>Measure spread properly on 96,000 real Brazilian e-commerce deliveries, avoid the numpy versus pandas ddof trap, and rank states by how consistent delivery is, not how fast.</description></item>
<item><title>Scatter plots: show relationships and correlation</title><link>https://unimitra.live/learn/data-visualization/chart-choice/viz-scatter-plot/</link><guid>https://unimitra.live/learn/data-visualization/chart-choice/viz-scatter-plot/</guid><pubDate>Fri, 02 Oct 2026 09:14:23 GMT</pubDate><description>Build scatter plots that show a relationship honestly, from 200 countries to 3 million taxi trips, with log axes, bubble sizes, highlights and trend lines that do not overclaim.</description></item>
<item><title>Histograms, box plots and violin plots explained</title><link>https://unimitra.live/learn/data-visualization/chart-choice/viz-distribution-charts/</link><guid>https://unimitra.live/learn/data-visualization/chart-choice/viz-distribution-charts/</guid><pubDate>Fri, 02 Oct 2026 09:13:26 GMT</pubDate><description>Choose between a histogram, box plot, violin plot and ECDF, read each one correctly, and know what each can hide, using 3 million real taxi fares.</description></item>
<item><title>Line chart best practices for time series data</title><link>https://unimitra.live/learn/data-visualization/chart-choice/viz-line-chart-time-series/</link><guid>https://unimitra.live/learn/data-visualization/chart-choice/viz-line-chart-time-series/</guid><pubDate>Fri, 02 Oct 2026 09:11:54 GMT</pubDate><description>Draw time series that tell the truth about trend, seasonality and events, with honest smoothing, partial periods, indexed comparisons and no spaghetti.</description></item>
<item><title>Bar chart best practices: sorting, baselines, labels</title><link>https://unimitra.live/learn/data-visualization/chart-choice/viz-bar-chart-best-practices/</link><guid>https://unimitra.live/learn/data-visualization/chart-choice/viz-bar-chart-best-practices/</guid><pubDate>Fri, 02 Oct 2026 09:10:34 GMT</pubDate><description>Build bar charts that rank categories at a glance, choose correctly between stacked, grouped and 100% stacked bars, and handle long tails and negative values.</description></item>
<item><title>Power BI get data and Power Query transformations</title><link>https://unimitra.live/learn/power-bi/power-bi-foundations/pbi-get-data-power-query/</link><guid>https://unimitra.live/learn/power-bi/power-bi-foundations/pbi-get-data-power-query/</guid><pubDate>Fri, 02 Oct 2026 09:07:36 GMT</pubDate><description>Load the eight Olist e-commerce files from one folder with a parameter and a reusable function, fix types and locales, translate Portuguese categories, and keep staging queries out of the model.</description></item>
<item><title>Power BI Desktop tutorial for beginners</title><link>https://unimitra.live/learn/power-bi/power-bi-foundations/pbi-desktop-tutorial/</link><guid>https://unimitra.live/learn/power-bi/power-bi-foundations/pbi-desktop-tutorial/</guid><pubDate>Fri, 02 Oct 2026 09:06:27 GMT</pubDate><description>Install Power BI Desktop, learn the four views and the panes, load half a million real retail transactions from a URL and build your first three visuals, then spot the numbers that are wrong before your manager does.</description></item>
<item><title>Excel Tables, sort and filter for clean data</title><link>https://unimitra.live/learn/excel/excel-foundations/excel-tables-sort-filter/</link><guid>https://unimitra.live/learn/excel/excel-foundations/excel-tables-sort-filter/</guid><pubDate>Fri, 02 Oct 2026 09:05:11 GMT</pubDate><description>Turn a raw export into an Excel Table, sort and filter half a million rows safely, and get totals that respect the filter.</description></item>
<item><title>Excel formulas: relative vs absolute cell references</title><link>https://unimitra.live/learn/excel/excel-foundations/excel-formulas-cell-references/</link><guid>https://unimitra.live/learn/excel/excel-foundations/excel-formulas-cell-references/</guid><pubDate>Fri, 02 Oct 2026 09:04:19 GMT</pubDate><description>Write formulas that copy down half a million rows correctly, lock the cells that must not move, and read every Excel error value at a glance.</description></item>
<item><title>Python if, for and while loops explained</title><link>https://unimitra.live/learn/python/python-basics/py-if-loops-control-flow/</link><guid>https://unimitra.live/learn/python/python-basics/py-if-loops-control-flow/</guid><pubDate>Fri, 02 Oct 2026 09:03:20 GMT</pubDate><description>Truthiness, the Python for loop with enumerate and zip, while loops, for...else, match/case and the walrus operator, built into a working command-line expense tracker.</description></item>
<item><title>Python dictionaries and sets with real examples</title><link>https://unimitra.live/learn/python/python-basics/py-dictionaries-and-sets/</link><guid>https://unimitra.live/learn/python/python-basics/py-dictionaries-and-sets/</guid><pubDate>Fri, 02 Oct 2026 09:02:18 GMT</pubDate><description>Use dictionaries and sets to compare two years of real customer data, count products with Counter, merge settings and read nested JSON safely.</description></item>
<item><title>Python lists and tuples: slicing, sorting, comprehensions</title><link>https://unimitra.live/learn/python/python-basics/py-lists-and-tuples/</link><guid>https://unimitra.live/learn/python/python-basics/py-lists-and-tuples/</guid><pubDate>Fri, 02 Oct 2026 09:01:12 GMT</pubDate><description>Build sorted leaderboards from real penguin data, write clean list comprehensions, and avoid the aliasing, copying and in-place traps that interviewers love.</description></item>
<item><title>Python strings and numbers: f-strings, slicing, rounding</title><link>https://unimitra.live/learn/python/python-basics/py-strings-and-numbers/</link><guid>https://unimitra.live/learn/python/python-basics/py-strings-and-numbers/</guid><pubDate>Fri, 02 Oct 2026 09:00:12 GMT</pubDate><description>Clean messy rupee amounts and phone numbers with Python string methods, Decimal and f-strings, and learn the float, rounding and Unicode rules that trip up beginners.</description></item>
<item><title>How to install Python and run your first script</title><link>https://unimitra.live/learn/python/python-basics/py-install-and-run-scripts/</link><guid>https://unimitra.live/learn/python/python-basics/py-install-and-run-scripts/</guid><pubDate>Fri, 02 Oct 2026 08:58:12 GMT</pubDate><description>Install a current Python on Windows, macOS or Linux, set up VS Code, run a script from the terminal and fix the relative-path error every beginner hits.</description></item>
<item><title>SQL CASE WHEN: conditional logic and buckets</title><link>https://unimitra.live/learn/sql/sql-foundations/sql-case-when/</link><guid>https://unimitra.live/learn/sql/sql-foundations/sql-case-when/</guid><pubDate>Fri, 02 Oct 2026 08:56:24 GMT</pubDate><description>Label rows, bucket numbers into bands and build one-row-per-group summaries with conditional counts, using CASE WHEN and the FILTER clause on real taxi data.</description></item>
<item><title>SQL LIKE, IN and BETWEEN with wildcards and ranges</title><link>https://unimitra.live/learn/sql/sql-foundations/sql-like-in-between/</link><guid>https://unimitra.live/learn/sql/sql-foundations/sql-like-in-between/</guid><pubDate>Fri, 02 Oct 2026 08:55:29 GMT</pubDate><description>Match text patterns with LIKE and regex, filter lists with IN, and write date ranges that never double-count a midnight, on real retail and taxi data.</description></item>
<item><title>SQL data types and CAST: numbers, text, dates</title><link>https://unimitra.live/learn/sql/sql-foundations/sql-data-types-and-cast/</link><guid>https://unimitra.live/learn/sql/sql-foundations/sql-data-types-and-cast/</guid><pubDate>Fri, 02 Oct 2026 08:54:30 GMT</pubDate><description>Pick the right SQL data type for money, IDs, text and timestamps, convert between them with CAST and TRY_CAST, and fix the type problems that appear the moment you load a real CSV.</description></item>
<item><title>SQL NULL values: IS NULL, COALESCE and three-valued logic</title><link>https://unimitra.live/learn/sql/sql-foundations/sql-null-handling/</link><guid>https://unimitra.live/learn/sql/sql-foundations/sql-null-handling/</guid><pubDate>Fri, 02 Oct 2026 08:52:24 GMT</pubDate><description>Understand what NULL really means in SQL, why it makes filters, averages and NOT IN quietly wrong, and how to handle it with IS NULL, COALESCE, NULLIF and IS DISTINCT FROM.</description></item>
<item><title>What is SQL? Databases, tables and your first query</title><link>https://unimitra.live/learn/sql/sql-foundations/sql-what-is-sql/</link><guid>https://unimitra.live/learn/sql/sql-foundations/sql-what-is-sql/</guid><pubDate>Fri, 02 Oct 2026 08:50:20 GMT</pubDate><description>Set up a free SQL database on your laptop, load 1.37 million real New York taxi trips, and answer your first questions about them with DESCRIBE, SUMMARIZE and SELECT.</description></item>
<item><title>Python loops: the lesson nobody teaches you</title><link>https://unimitra.live/learn/python/python-engineering/python-loops-the-real-lesson/</link><guid>https://unimitra.live/learn/python/python-engineering/python-loops-the-real-lesson/</guid><pubDate>Fri, 02 Oct 2026 07:32:20 GMT</pubDate><description>How a for loop really works, why one line inside it can make your code 785x slower, and the loop bugs that show up in reviews and interviews.</description></item>
<item><title>How we built the Forward Deployed Engineer roadmap</title><link>https://unimitra.live/blog/forward-deployed-engineer-roadmap-research/</link><guid>https://unimitra.live/blog/forward-deployed-engineer-roadmap-research/</guid><pubDate>Wed, 30 Sep 2026 12:13:52 GMT</pubDate><description>We read 48 Forward Deployed Engineer job descriptions posted between July and September 2026, 32 in India and 16 global remote, and counted which skills they ask for. This page sho.</description></item>
<item><title>How we built the Software Engineer roadmap</title><link>https://unimitra.live/blog/software-engineer-roadmap-research/</link><guid>https://unimitra.live/blog/software-engineer-roadmap-research/</guid><pubDate>Wed, 30 Sep 2026 12:13:52 GMT</pubDate><description>We read 50 backend and full-stack Software Engineer job descriptions posted between July and September 2026, 32 in India and 18 global remote, and counted which skills they ask for.</description></item>
<item><title>How we built the AI/ML Engineer roadmap</title><link>https://unimitra.live/blog/ai-ml-engineer-roadmap-research/</link><guid>https://unimitra.live/blog/ai-ml-engineer-roadmap-research/</guid><pubDate>Wed, 30 Sep 2026 12:13:51 GMT</pubDate><description>We read 50 AI/ML Engineer job descriptions posted between July and September 2026, 32 in India and 18 global remote, and counted which skills they ask for. This page shows the meth.</description></item>
<item><title>How we built the Blockchain Developer roadmap</title><link>https://unimitra.live/blog/blockchain-developer-roadmap-research/</link><guid>https://unimitra.live/blog/blockchain-developer-roadmap-research/</guid><pubDate>Wed, 30 Sep 2026 12:13:51 GMT</pubDate><description>We read 46 Blockchain Developer, Solidity Developer and Web3 Engineer job descriptions posted between July and September 2026, 21 in India, 17 global remote and 8 on-site in global.</description></item>
<item><title>How we built the Cloud and Network Engineer roadmap</title><link>https://unimitra.live/blog/cloud-network-engineer-roadmap-research/</link><guid>https://unimitra.live/blog/cloud-network-engineer-roadmap-research/</guid><pubDate>Wed, 30 Sep 2026 12:13:51 GMT</pubDate><description>We read 50 Cloud Engineer and Network Engineer job descriptions posted between July and September 2026, 32 in India and 18 global remote, and counted which skills they ask for. Thi.</description></item>
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