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sanchitvaid/README.md

Hi, I'm Sanchit Vaid

Data Analyst with 3+ years of experience in product analytics, A/B experimentation, and statistical modelling across large-scale platforms (2.7M+ users). I specialise in hypothesis-driven analysis — designing experiments, diagnosing metric drops, and translating complex data into decisions that move products forward.

Currently at EXL Service, working on retention analytics and experimentation.

Skills & Tools

Analytics: A/B Testing · Hypothesis Testing · Statistical Modelling · Variance Reduction · KPI Definition · Cohort Analysis · Funnel Analysis

Programming & Data: SQL (Advanced) · Python (Pandas, NumPy, SciPy) · DBT · Git

Platforms: Power BI · Tableau · BigQuery · Azure Databricks · Looker Studio · Airflow

Connect

LinkedIn · sanchitvaid78@gmail.com

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  1. Naive-Bayes-Algorithm Naive-Bayes-Algorithm Public

    Leveraged Bayes' Theorem to distinguish between spam and non-spam emails. The algorithm makes a "naive assumption" that each feature is independent of the others

    HTML

  2. Image-Compression-using-PCA Image-Compression-using-PCA Public

    Principal Component Analysis using Vector theory and Matrix multiplication

    HTML

  3. Housing-Data-analysis Housing-Data-analysis Public

    Exploratory data analysis of housing data using Python

    HTML

  4. LeetCode-Patterns-using-Python LeetCode-Patterns-using-Python Public

    LeetCode problems and pattern formation using DSA

    Jupyter Notebook