Dayanand Nimbalkar — Data Scientist

𝐈 𝐚𝐦 𝐚 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 / 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐰𝐢𝐭𝐡 𝐡𝐚𝐧𝐝𝐬-𝐨𝐧 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐧 𝐒𝐐𝐋, 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈, 𝐚𝐧𝐝 𝐦𝐨𝐝𝐞𝐫𝐧 𝐄𝐋𝐓 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐟𝐨𝐜𝐮𝐬𝐞𝐝 𝐨𝐧 𝐭𝐮𝐫𝐧𝐢𝐧𝐠 𝐫𝐚𝐰 𝐝𝐚𝐭𝐚 𝐢𝐧𝐭𝐨 𝐚𝐜𝐭𝐢𝐨𝐧𝐚𝐛𝐥𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬. I have worked on end-to-end analytics projects, handling data ingestion, cleaning, modeling, analysis, and visualization to support business and financial decision-making. 𝐖𝐡𝐚𝐭 𝐈 𝐝𝐨 𝐢𝐧 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐞: Analyzed datasets with millions of records, improving data reliability and reporting accuracy through structured cleaning and transformation workflows.Wrote complex SQL queries (joins, CTEs, window functions) and optimized queries to 𝐫𝐞𝐝𝐮𝐜𝐞 𝐝𝐚𝐭𝐚 𝐞𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐫𝐞𝐩𝐨𝐫𝐭 𝐫𝐞𝐟𝐫𝐞𝐬𝐡 𝐭𝐢𝐦𝐞 𝐛𝐲 𝟑𝟎–𝟓𝟎%. Used Python (Pandas, NumPy, Matplotlib, Seaborn) for EDA, statistical analysis, and trend identification, enabling faster insight generation and more confident decision-making. Designed interactive Power BI Report with 𝟓𝟎+ 𝐃𝐀𝐗 𝐦𝐞𝐚𝐬𝐮𝐫𝐞𝐬, tracking KPIs such as revenue, budget vs actuals, variance %, growth trends, and operational performance.Built star-schema and snowflake data models, reducing DAX complexity and improving report performance and scalability.Implemented ELT workflows and incremental refresh logic, 𝐜𝐮𝐭𝐭𝐢𝐧𝐠 𝐦𝐚𝐧𝐮𝐚𝐥 𝐫𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠 𝐞𝐟𝐟𝐨𝐫𝐭 𝐛𝐲 𝟒𝟎–𝟔𝟎%.Designed 𝐬𝐭𝐚𝐫 𝐬𝐜𝐡𝐞𝐦𝐚𝐬 that reduced report complexity and 𝐢𝐦𝐩𝐫𝐨𝐯𝐞𝐝 𝐪𝐮𝐞𝐫𝐲 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐛𝐲 𝟑𝟎–𝟒𝟎%. 𝐃𝐨𝐦𝐚𝐢𝐧𝐬 𝐈’𝐯𝐞 𝐰𝐨𝐫𝐤𝐞𝐝 𝐨𝐧:Financial & Budget Analysis Sales & Performance Analytics Supply Chain & Inventory Analytics Customer & Operational AnalyticsI regularly collaborate with stakeholders to translate business requirements into analytical solutions, ensuring data accuracy, clarity in storytelling, and measurable impact through dashboards and reports.I am actively seeking opportunities as a Data Analyst / Analytics Engineer / BI Professional, where I can apply SQL analytics, Python-based analysis, data modeling, and BI reporting to solve real-world business problems and drive meaningful outcomes.

Stackforce AI infers this person is a Data Analyst specializing in Business Intelligence and Analytics within the SaaS industry.

Location: Pune, Maharashtra, India

Experience: 11 mos