Data Analyst @ Arcadia | Immediate Joiner
Power BI • Python • SQL • Streamlit • Dashboard Storyteller
Data Analyst with 1.5+ years of experience turning data into actionable insights.
I specialize in building dashboards, predictive models, and end-to-end reporting pipelines that help teams make smarter decisions.
- Transform raw, unstructured data into impactful business insights using SQL, Python, and statistical techniques
- Build production-ready dashboards in Power BI, Streamlit, and Tableau to drive data-backed decisions across operations, product, and marketing
- Develop and evaluate machine learning models (Logistic Regression, KNN, XGBoost) with robust preprocessing, SMOTE balancing, and AUC-based validation
- Lead cross-functional data initiatives, aligning insights with product onboarding, campaign performance, and behavioral analytics
- Communicate complex findings clearly to both technical and non-technical stakeholders using visual storytelling and metric-driven narratives
SQL · Power BI · Streamlit · Excel · Tableau · Python (Pandas, NumPy, Seaborn) · Scikit-learn · ML · Matplotlib
Healthcare · Finance · Onboarding Analytics · Retail Campaigns · OTT Platforms
- Improving ML deployment using Streamlit
- Strengthening product intuition through behavioral metrics
- A/B Testing · Churn Analysis · Funnel Diagnostics
A bold, data-driven story of how two OTT giants united to reshape digital entertainment in India.
Built in Power BI, this analysis explores user behavior, content strategy, and revenue growth after the merger.
Atliq Mart, a leading retail chain in India, launched festive campaigns in their 50+ stores across different metropolitan cities in India during Diwali and Sankranti festive seasons.
This Power BI + SQL project analyzes campaign performance, revealing high-impact promotions, regional buying patterns, and data-driven strategies for revenue growth.
Analyze YouTube channel performance using SQL — uncover insights on subscribers, revenue, views, and engagement using only clean, structured queries.
A real-time Streamlit web app trained by Machine Learning model that uses 8 clinical indicators to predict diabetes risk with high accuracy and engaging UI.
🔗 Launch App | GitHub Repo
Travel agency dataset analyzed with SQL to uncover seasonal trends, customer demographics, and destination performance.
SQL-based analysis of IPL auction data to explore player bidding patterns, team strategies, and pricing insights.
Data-driven exploration of film rentals — genres, customer behavior, and late return patterns using SQL queries.
Sales trends, regional performance, and segment-based analysis of bicycle sales using Excel dashboards.
Explore car pricing trends, brand distribution, and feature correlation through Excel visualizations.
Uncovered the secrets of U.S. honey production using Python data wrangling and visualization.
Analyzed trends over the years, identified declining production patterns, and built compelling plots using matplotlib & seaborn.
Explored and cleaned a dataset of 10K Android apps to uncover patterns behind successful mobile apps.
Performed EDA and preprocessing for future predictive modeling using Python, focusing on installs, reviews, ratings, and app categories.
-
Exceptional Performance Award — Arcadia (2024) View Certificate
• Recognized for delivering high-impact analytical solutions and cross-functional collaboration during the first year. -
SQL (Advanced) — HackerRank (Feb 2024) View Certificate
• Mastered advanced SQL including joins, subqueries, CTEs, and window functions for real-world scenarios. -
Data Analytics Certification — Great Learning (Mar 2024) View Certificate
• Practical training in Excel, SQL, Power BI, and Python to perform full-cycle data analysis. -
Power BI: Data Visualization & Storytelling — Great Learning (Jan 2024) View Certificate
• Built interactive dashboards using DAX, Power Query, and data modeling to drive business insights. -
Statistical Learning — Great Learning (Feb 2024) View Certificate
• Applied statistical techniques to uncover trends, interpret patterns, and support data-driven decision-making.
If you're looking for a results-driven analyst who builds real dashboards, uncover insights , make informed decisions and documents it all transparently — you're in the right place.
