Yash Shiraskar

B.E. student · Aspiring Data Analyst

Mumbai, Maharashtra, India

@yash_shiraskar

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🎓 Bachelor of Engineering in Electronics and Computer Science Engineering at Vivekanand Education Society’s Institute of Technology · Graduating 2027

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About

Fourth-year Electronics and Computer Science Engineering student with hands-on experience building analytics dashboards and applying Python, SQL, and Power BI for data-driven insights. Strong foundation in data analysis, visualization, and business analysis through academic projects and problem-solving practice.

Education

2027

Bachelor of Engineering in Electronics and Computer Science Engineering

Vivekanand Education Society’s Institute of Technology

Electronics and Computer Science Engineering · 2023 – 2027

Electronics and Computer Science Engineering · 2023 – 2027
2023

High School

St. Paul School

2023
2021

High School

Podar International School, Besa

2021

Skills

<3 months

C SQL CSS Oop HTML ANOVA Python A/B Testing Tailwind CSS scikit-learn Data Cleaning Data Analytics Data Wrangling Funnel Analysis KPI Development Cohort Analysis Business Analysis Computer Networks Operating Systems Hypothesis Testing Regression Analysis Statistical Analysis Correlation Analysis Exploratory Data Analysis Database Management Systems

Tools / apps / platforms

<3 months

Git MySQL GitHub Tableau PostgreSQL Power Query Google Colab Microsoft Excel Jupyter Notebook Microsoft Power BI

Projects

PolluTrack: Air Quality Analytics ↗

Python, Pandas, NumPy, Scikit-learn

Developed an environmental analytics application to explore air quality data and visualize pollutant trends and AQI patterns. Applied Python-based data processing and analysis to investigate air quality patterns and present environmental insights.
InsightFlow: Customer Shopping Behavior Analytics ↗

Python, Pandas, SQL, Power BI, DAX, Google Colab

Analyzed 3,900 customer records using Python and SQL to investigate purchasing patterns, product category performance, seasonal trends, subscription status, and customer ratings. Developed an interactive Power BI dashboard featuring KPI cards, category-wise purchase analysis, subscription distribution, seasonal comparisons, and customer segmentation filters.
SalesSight: Sales Performance Analytics ↗

Power BI, DAX, Power Query

Developed an interactive Power BI dashboard to analyze sales performance across revenue, profit, quantity sold, product categories, and regional performance. Created KPI cards, DAX measures, and interactive visualizations to compare business performance and identify sales trends for data-driven decision-making.

🏆 Achievements & awards

LeetCode problem solving

180+ problems solved at LeetCode.
HackerRank 6-Star

Achieved 6-star status on HackerRank.

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