Data analyst with hands-on experience leveraging Python, SQL, Power BI, and Tableau to transform complex datasets into clear, actionable business insights. Proven ability to clean, structure, and analyze data to support strategic decision-making and improve operational efficiency. Experienced in developing interactive dashboards, automated reports, and performing foundational predictive analysis on real-world projects. Have experience for strong analytical thinking, attention to detail, and the ability to communicate data findings to both technical and non-technical stakeholders.
Experience
Data Analyst @ Runix Tech Solution
Mar 2025 - Present
- Performed market and competitive analysis across multiple software products to support pricing strategy and product roadmap decisions.
- Gathered and translated business requirements into structured datasets, pricing models, and eligibility rules.
- Re‑engineered the exam‑registration workflow by building Excel‑based pricing and validation models, reducing processing time and manual errors.
- Integrated sales, finance, and operational data from multiple sources to enable consolidated reporting and forecasting.
- Built dashboards for revenue tracking, performance monitoring, and management forecasting.
- Designed data ingestion and verification pipelines to stabilize exam‑operations reporting and reduce rework.
- Executed large‑scale data cleaning, deduplication, and field‑level corrections to improve data reliability for governance and audits.
- Developed IQA‑aligned reports within IMIS (EMS) covering qualification, exam, financial, and CPD metrics.
Data Analyst @ GBJ Buzz Pvt. Ltd.
Jan 2023 - Mar 2024
- Conducted advertising, customer, and market performance analysis using SQL, Python, and Excel.
- Integrated data from multiple sources to support campaign performance reporting and budget planning.
- Built KPI dashboards and segmentation models adopted in weekly business reviews.
- Identified budget inefficiencies and targeting gaps, improving allocation efficiency by 15%.
- Delivered data‑driven insights that increased campaign ROI and planning accuracy.
Data Science Research Intern @ Center of Excellence in Data Science, GHRCE
Jun 2023 - Dec 2023
- Performed large‑scale data analysis on climate, soil, and agricultural production datasets across Asia.
- Built Python‑based forecasting models using Decision Trees and Gradient Boosting.
- Integrated IMD, Faostat, and MeteoStat datasets into a unified analytical pipeline.
- Developed a weather‑based advisory system to support crop‑selection decisions.
- Improved yield‑prediction accuracy and decision reliability through data‑driven modeling.
Side Projects
Power BI Weather API Visualization
Jan 2025
Interactive Power BI dashboard built using live Weather API data to visualize key metrics including temperature, humidity, and trends over time. The dashboard demonstrates dynamic data integration, clean visual design, and practical insights that support real-world decision making. Showcases ability to connect APIs, transform data, and present actionable results in a business-ready format.
Customer Churn and Risk Analysis Dashboard for a Telecom Company
Feb 2024
Developed an interactive dashboard using Power BI to dive deep into customer churn and risk factors. Identified key insights, including higher churn rates among DSL users and customers with unresolved issues, leveraging data analysis and statistical methods.
Case Studies
AI Dynamic Pricing (Uber Data)
Case study analyzing Uber pricing behavior using AI and data patterns to illustrate how dynamic pricing mechanisms adapt to demand and supply factors. The post showcases structured problem framing, exploratory analysis, and insights into pricing strategy implications. Demonstrates ability to combine real-world data with analytical reasoning to generate actionable conclusions relevant to business decisions.
Why Research Is the Missing Link Between Data and Strategy
In this article, I examine how data strategy initiatives fail without rigorous research as the foundation. I define why understanding the problem space, user needs, and business context is essential before building dashboards or models. The piece highlights how research aligns data efforts with measurable outcomes, reduces rework, and ensures analytics delivers real business value rather than just technical outputs.
Data Transparency vs. Conversion Friction: When More Information Hurt Decisions
This article breaks down a real analytics problem where increased transparency slowed conversions instead of improving them. It shows how decision friction forms, where users start dropping off, and how sequencing information—not removing it—restores momentum while preserving trust.
What I Stopped Doing to Grow Faster in Data Analytics
This article breaks down the habits I deliberately stopped in order to grow faster as a data analyst. It focuses on removing unclear work, unnecessary complexity, and misaligned effort so analysis leads to clearer decisions and real impact rather than just polished outputs.
When Curiosity Turned Into Commitment: The Turning Point That Shaped My Path in Data Analytics
This article captures the exact moment my curiosity about data turned into a long-term commitment to analytics and business analysis. It’s about moving beyond tools and dashboards to focus on problem framing, context, and decisions that actually matter.
Education
G.H Raisoni College of Engineering
Data Science
2021 - 2024
Certifications
- Google Data AnalyticsJun 2022
- IBM Data ScienceSep 2022