Nitish G

I’m a Data Analyst with 2.5+ years of experience supporting sales and commercial teams through predictive analytics, data-driven decision-making, and business intelligence reporting. I specialise in building machine learning models for revenue forecasting and customer churn prediction, structuring unstructured market data, and automating reporting pipelines to improve operational efficiency. I bring a practical, business-first approach—every model and dashboard I build needs to be actionable and tied to measurable outcomes.

In my current role, I analysed sales patterns across 10+ product lines using XGBoost and Linear Regression to identify underperforming market segments, directly informing go-to-market decisions that improved regional market spread and drove measurable revenue growth. I built a Random Forest classifier for customer churn prediction on 20,000+ customer records, enabling the retention team to proactively target at-risk segments and achieve an ~15% reduction in churn rate. I also reorganised a completely unstructured market database from scratch with Python (pandas, NumPy), transforming scattered data into the business’s first reliable 360° customer view.

To scale impact, I automate end-to-end data pipelines and Power BI dashboard refresh cycles, reducing manual reporting effort by 60% and cutting weekly report preparation time from 4+ hours to under 45 minutes. I partner closely with stakeholders across sales, marketing, and operations to translate business questions into data-driven analytical solutions—so insights don’t just exist, they get used.

Previously as a Junior Data Analyst, I supported Power BI dashboards for sales performance tracking and regional KPI reporting across 5+ business units, while automating recurring MIS reports with Advanced Excel (macros, Power Query) to reduce manual data entry by 40% and eliminate reporting errors. I handled data cleaning, validation, ETL processes, and SQL-based extraction and transformation for monthly management review decks and performance analysis. I’m currently pursuing an MBA in Artificial Intelligence to deepen my ability to deliver advanced analytics and intelligent automation for real business outcomes.