Chiranjeeb Kumar sahoo

Exploring AI, technology & digital growth. Building, learning & sharing ideas along the way. Open to opportunities, collaborations & meaningful connections.

[Chiranjeeb Kumar sahoo @Chiranjeeb_Ku_]

Day 57/100 — Pandas 🐼

Focused on Pivot Tables & Crosstab.

Practiced 8 exercises and built a region × month revenue pivot table.

Key insight: Small mistakes are part of real learning.

#100DaysOfData #DataAnalyst

[Chiranjeeb Kumar sahoo @Chiranjeeb_Ku_]

Week 8/14 — Day 56/100 📊

Focused on Concat in Pandas.

Practiced stacking DataFrames and handling schema mismatches by combining monthly CSVs into one yearly dataset.

Key insight: Combining data consistently is essential for reliable analysis.

#100DaysOfData #DataAnalyst

[Chiranjeeb Kumar sahoo @Chiranjeeb_Ku_]

Day 55/100 — Pandas 🐼

Focused on merging data.

Practiced inner, left, right & outer merges and combined orders, customers & products into one analysis-ready table.

Key insight: Connecting the right data reveals the bigger picture.

#100DaysOfData #DataAnalyst

[Chiranjeeb Kumar sahoo @Chiranjeeb_Ku_]

Day 54/100 — Pandas 🐼

Focused on GroupBy & aggregation.

Practiced single & multi-column grouping and calculated revenue by region and month.

Key insight: Grouping data turns raw numbers into business insights.

#100DaysOfData #DataAnalyst

[Chiranjeeb Kumar sahoo @Chiranjeeb_Ku_]

Day 53/100 — Pandas 🐼

Focused on date/time manipulation.

Practiced "to_datetime", ".dt" and resampling, then extracted year, month & weekday features.

Key insight: Dates can reveal patterns hidden in raw data.

#100DaysOfData #DataAnalyst

[Chiranjeeb Kumar sahoo @Chiranjeeb_Ku_]

Day 52/100 — Pandas 🐼

Focused on string cleaning today.

Practiced ".str" methods + regex and cleaned messy names and categories.

Also solved 2 stack problems.

Key insight: Clean text → better analysis.

#100DaysOfData #DataAnalyst

[Chiranjeeb Kumar sahoo @Chiranjeeb_Ku_]

Day 51/100 — Pandas 🐼

Focused on data types & memory optimization.

Practiced dtype casting and optimized my DataFrame with better data types.

Key insight: Analytics isn't just about numbers — it's about understanding what they mean.

#100DaysOfData #DataAnalyst

[Chiranjeeb Kumar sahoo @Chiranjeeb_Ku_]

Day 50/100 — Pandas 🐼

Focused on duplicates today.

Practiced detecting & removing duplicates, then documented the rows removed and why.

Key insight: Clean data starts with clean records.

#100DaysOfData #DataAnalyst

[Chiranjeeb Kumar sahoo @Chiranjeeb_Ku_]

Week 7/14 — Day 49/100 📊

Focused on missing values in Pandas.

Practiced detecting, dropping & imputing NaNs and cleaned a dataset column-wise.

Also practiced two-pointer problems.

Key insight: Clean data leads to better answers.

#100DaysOfData #DataAnalyst

[Chiranjeeb Kumar sahoo @Chiranjeeb_Ku_]

Day 48/100 — Pandas 🐼

Focused on loc, iloc & boolean filtering.

Solved 10 exercises and filtered data using different business conditions.

Key insight: Good filtering turns raw data into useful answers.

#100DaysOfData #DataAnalyst

[Chiranjeeb Kumar sahoo @Chiranjeeb_Ku_]

Day 47/100 — Pandas 🐼

Started with Series, DataFrames & read_csv.

Loaded a messy dataset and explored it using ".info()" and ".describe()".

Key insight: Good analysis starts with understanding the data.

#100DaysOfData #DataAnalyst

[Chiranjeeb Kumar sahoo @Chiranjeeb_Ku_]

Day 46/100 — NumPy 🧮

Started NumPy: arrays, indexing & vectorized operations.

Solved 10 exercises and rebuilt 3 earlier tasks using NumPy.

Key insight: Vectorization makes data work faster and cleaner.

#100DaysOfData #DataAnalyst

[Chiranjeeb Kumar sahoo @Chiranjeeb_Ku_]

Day 45/100 — DSA 🧠

Hit the DSA checkpoint: ~25 problems + Big O review.

Solved 5 more and revisited 2 earlier problems without old solutions.

Updated my GitHub DSA problem tracker.

Key insight: Real progress is solving what once felt difficult.

#100DaysOfData #DataAnalyst

[Chiranjeeb Kumar sahoo @Chiranjeeb_Ku_]

Day 44/100 — DSA 🧠

Mixed review: arrays, strings & hash maps.

Solved 5 timed problems and revisited my slowest solution.

Key insight: Practice shows the gap. Review closes it.

#100DaysOfData #DataAnalyst

[Chiranjeeb Kumar sahoo @Chiranjeeb_Ku_]

Day 43/100 — DSA 🧠

Focused on Hash Maps.

Solved 5 problems: Two Sum, duplicates, anagrams, unique characters & Subarray Sum = K.

Also compared brute force vs HashMap.

Key insight: The right data structure changes the approach.

#100DaysOfData #DataAnalyst

[Chiranjeeb Kumar sahoo @Chiranjeeb_Ku_]

Week 6/14 — Day 42/100 📊

Focused on DSA: Strings.

Practiced palindromes, anagrams, frequency counting, reverse strings & longest common prefix.

Pushed Day 40–42 solutions to GitHub.

Consistency → better problem-solving.

#100DaysOfData #DataAnalyst

[Chiranjeeb Kumar sahoo @Chiranjeeb_Ku_]

Day 41/100 — DSA 🧠

Solved Two Sum, Max Subarray, Missing Number, Move Zeroes & Merge Sorted Arrays.

Focused on clean logic + complexity.

Key insight: Getting stuck is part of learning.

#100DaysOfData #DataAnalyst

[Chiranjeeb Kumar sahoo @Chiranjeeb_Ku_]

Day 40/100 — DSA 🧠

Started arrays + Big O

Solved 5 problems: max/min, reverse, rotate, linear search & binary search.

Also noted the time complexity of each solution

Key insight: Writing code is one thing. Understanding how it scales is another.

#100DaysOfData #DataAnalyst

[Chiranjeeb Kumar sahoo @Chiranjeeb_Ku_]

Day 39/100 — Git & GitHub 🐙

Practiced branches, commits, PRs & ".gitignore".

Cleaned my repo structure and created a proper project index in the README.

Key insight: Good analytics work also needs good version control.

#100DaysOfData #DataAnalyst

[Chiranjeeb Kumar sahoo @Chiranjeeb_Ku_]

Day 38/100 — Python 🐍

Practiced try/except & debugging with 8 exercises.

Added error handling + logging to my CSV-cleaning script for bad rows.

Key insight: Good code doesn't just handle the happy path—it handles the unexpected.

#100DaysOfData #DataAnalyst