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Senior Data Analysis with 3+ years in SQL, Python & Power BI for actionable insights.
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Results-driven Data Analyst with 3+ years of experience in delivering data-driven insights and building scalable analytics solutions. Proficient in SQL, Python (Pandas, NumPy, Scikit-learn), Power BI, and Google Data Studio (Looker Studio) with expertise in data wrangling, ETL pipelines, and predictive modeling. Skilled in designing interactive dashboards, advanced Excel analytics, marketing/sales funnel analysis, and KPI reporting across eCommerce, finance, and operations domains. Strong track record of translating business requirements into technical solutions, optimizing data workflows, and driving strategic decision-making. Experienced in working with large datasets, relational databases (MySQL, PostgreSQL, SQL Server), and cloud platforms (AWS, BigQuery) to improve performance and scalability.
Gujarat University
Master of science · CA & IT
August 1, 2016 – June 30, 2021
Global Industrial Company
Data Analyst
September 1, 2023 – Present
India
Tata Consultancy Services
Jr. Data Analyst
February 1, 2022 – June 1, 2023
India
Personalized Recommendation System for B2B Sales
June 24, 2026 – Present
Objective: Suggest personalized products/services based on past interactions. Tools: Python, Power BI, SQL Analyse customer purchase history and interactions. Apply collaborative filtering to recommend products. Visualize customer preferences in a BI dashboard. Integrate recommendations into the CRM system. Outcome: Increased B2B conversion rates and upsell opportunities.
Personalized Product Recommendation System
June 24, 2026 – Present
Objective: Improve customer experience by recommending products based on browsing and purchase history. Tools: Python (Collaborative Filtering), SQL, AWS. Collect user behaviour data (clicks, purchases, abandoned carts). Apply collaborative filtering and deep learning for personalized recommendations. Build an A/B testing framework to measure effectiveness. Visualize user engagement trends in Power BI. Outcome: Higher conversion rates and customer retention.
Real-Time Marketing Attribution & ROI Dashboard
June 24, 2026 – Present
Objective: The marketing team struggled to measure true ROI across multiple channels. Traditional last-click attribution undervalued top-of-funnel efforts. Tools: Python, BigQuery, Looker Studio (Google Data Studio), SQL Outcome: Provided a 360° view of campaign effectiveness, reducing wasted ad spend by 15%. Helped marketing allocate budget more effectively, boosting ROAS by 18%. Delivered real-time decision-making capability instead of waiting for monthly reports.
Global Sales Performance Dashboard
June 24, 2026 – Present
Objective: This project demonstrates how to analyze regional and product-level sales performance using Power BI. The goal is to help business stakeholders monitor KPIs like Revenue, Profit, and Quantity Sold in real time. Tools: Power BI (DAX, visualization, filters), SQL (for future scaling), Excel/CSV (data storage). Outcome: Helps leadership track KPIs in real-time
Marketing Campaign Analytics Dashboard
June 24, 2026 – Present
Objective: This project analyzes digital marketing campaign performance using Power BI. It calculates and visualizes KPIs like CTR, CPC, ROAS, and Conversion Rate to help optimize marketing spend. Tools: Power BI (DAX for KPI calculations, visualization),Excel/CSV (data source),SQL (for scalable version) Outcome: Optimizes ad spend allocation
Cultural Fit Analysis
The candidate's project diversity, covering sales, marketing, and recommendation systems, indicates adaptability and a broad interest in data applications. Their experience in both a large IT service company (TCS) and a global industrial company suggests an ability to work in different organizational cultures. The emphasis on continuous learning and implementing new features from Power BI and SQL ecosystems shows a proactive and growth-oriented mindset, which is a good cultural fit for dynamic environments.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, evidenced by root cause analysis and A/B testing design. Their experience in mentoring junior analysts and updating stakeholders suggests good communication and teamwork. The focus on real-time decision-making and optimizing business outcomes aligns well with operational efficiency.