Data Analyst
Data Analyst with a B.Sc. in Electronics and hands-on experience in Python, SQL, Power BI, Tableau, machine learning, NLP, Pandas, and NumPy. Experienced in automating data preprocessing, optimizing queries, building dashboards, and delivering actionable business insights.
Knovista Technologies Pvt Ltd
Dec 2025 – Mar 2026 · Kochi
Automated data preprocessing with Python using Pandas and NumPy and optimized MySQL queries with CTEs and joins, reducing data errors by approximately 40%; built interactive Power BI and Tableau dashboards using DAX and Power Query ETL for real-time KPI monitoring; developed supervised machine learning models using Logistic Regression and Random Forest and applied NLP with TF-IDF and text classification, achieving 87% classification accuracy; performed exploratory data analysis with Matplotlib and Seaborn; maintained version-controlled notebooks using Git/GitHub and used Advanced Excel for ad-hoc reporting.
Sutherland Global Services
May 2025 – Nov 2025 · Kochi
Monitored and analyzed customer service performance metrics including satisfaction scores and resolution rates; resolved service issues through email and live chat by clarifying complaints, diagnosing root causes, and delivering accurate solutions; maintained detailed records of customer queries, resolutions, and escalations; collaborated with cross-functional teams to relay recurring customer issues and contribute to product and process improvements.
B.Sc., Electronics
2024
Higher Secondary Education, Science
2020
Built a binary classification model using Logistic Regression and Random Forest to automate lead scoring and validation, reducing manual verification effort by over 60% and achieving 87% model accuracy. Engineered behavioral and demographic features with Pandas and NumPy, applied cross-validation and hyperparameter tuning, and used TF-IDF and Scikit-Learn pipelines to classify lead intent.
Developed an end-to-end Power BI dashboard with complex DAX formulas and a star-schema data model to visualize revenue KPIs, regional performance, and sales trends. Applied Power Query for multi-source ETL and data transformation; the dashboard was used by more than five stakeholders for quarterly strategy decisions.