Headline

AI/NLP Engineer | Multi-Agent AI | RAG | NLP Pipelines | FastAPI | Open to Opportunities

About

Data Analyst with 3+ years of professional experience delivering data-driven insights across customer analytics, operational monitoring, and compliance domains. Proven expertise in Python, SQL, Power BI, and data visualization, with a strong track record of building interactive dashboards, KPI monitoring systems, and predictive analytics solutions that improve decision-making and operational efficiency. Experienced in developing real-time anomaly detection and trend analysis frameworks to proactively identify issues and reduce downtime. Complemented by hands-on project work in fintech analytics, real estate market analysis, ML-based revenue prediction, clustering, computer vision, and NLP-driven anomaly intelligence platforms, including Streamlit dashboards and AWS deployments. Adept at translating complex data into clear business insights and collaborating with cross-functional stakeholders to drive measurable outcomes. Work samples Github : https://github.com/GeethaPalanisamy-721

Location

Chennai

Work experience

Data analyst - Business Associate at Altruist Technologies Pvt. Ltd., Apr 2023 - Jun 2025 · 2 yrs 3 mos, Chennai, Tamil Nadu, India, Results driven data professional with expertise in creating interactive dashboards and business intelligence solutions for the telecom industry. Specialized in transforming the complex network data, customer analytics and operational metrics into actionable insights that drive strategic decision making. Proven ability to develop Power BI dashboards on financial intelligence and operational Analytics which boost the revenue through data driven recommendations.

Junior Engineer at Lotus Footwear Enterprises Limited, Oct 2021 - Dec 2022 · 1 yr 3 mos, India, As an Environmental Engineering professional turned Data Analyst, I specialize in transforming raw operational data into actionable insights through Python automation and Power BI visualization. I have designed end‑to‑end data pipelines using Pandas and NumPy to clean factory KPIs, detect anomalies, reconcile waste generation vs disposal, and apply sustainability thresholds aligned with compliance frameworks. These automated workflows reduced manual reporting effort by 40% and ensured audit‑ready datasets. In Power BI, I developed interactive dashboards leveraging Power Query for ETL, DAX for calculated measures, conditional formatting for anomaly flags, and time intelligence functions for trend analysis. My dashboards provided unit‑wise compliance classification and enabled drill‑through analysis for anomaly details. I also implemented row‑level security to improve accountability and data privacy across units. By combining domain knowledge in EHS with technical expertise in Python and Power BI, I deliver scalable, transparent, and impactful reporting solutions that support proactive risk management, sustainability performance, and data‑driven decision making.

Education

Energy and environmental engineering, Renewable energy and Environment pollution management, Tamil Nadu Agricultural University