Headline

Data Analyst | Python • SQL • Power BI • Tableau | Data Visualization | Machine Learning | Business Intelligence | Turning Data into Actionable Insights

About

Most business problems don’t start in dashboards — they start with confused users, recurring issues, and unclear signals. In my role within IT , I worked closely with end users facing real, day-to-day system challenges. What stood out to me wasn’t just the volume of issues, but the patterns behind them. The same problems kept repeating because the root causes weren’t being analyzed — only the symptoms were being fixed. That’s where I naturally leaned in. I enjoy breaking problems down, asking why repeatedly, and using data to uncover what’s actually happening beneath the surface. Whether it was identifying recurring incidents, analyzing trends, or explaining findings to stakeholders, my strength became clear: bridging user conversations with analytical thinking to turn ambiguity into clarity. Today, I am actively transitioning into a Business Analyst role, where I can apply this mindset at scale — partnering with stakeholders, analyzing data, and delivering insights that support smarter, faster decision-making. If you’re looking for someone who understands users first, thinks analytically, and communicates insights clearly — let’s connect. 📩 Open to opportunities in Business Analyst / Associate Business Analyst / Data Analyst roles across Tech, FinTech, and E-commerce.

Location

Hyderabad

AI stack

gemini

notion

openai

v0

Work experience

Data Analyst at Birla Pivot, Mar 2026 - Present · 4 mos, Bengaluru, Karnataka, India, ✅Support business teams in data analysis and reporting to identify trends, patterns, and actionable insights that support strategic decision-making. ✅ Perform data cleaning, transformation, and validation to ensure high levels of data accuracy, consistency, and reliability across multiple datasets. ✅ Assist in building interactive reports and dashboards for monitoring business performance, KPIs, and operational metrics. ✅ Develop data visualizations and analytical reports using business intelligence tools to present insights in a clear and meaningful way. ✅ Collaborate with cross-functional teams to analyze datasets, interpret business requirements, and generate data-driven insights. ✅ Conduct Exploratory Data Analysis (EDA) to identify trends, correlations, anomalies, and opportunities for process improvement. ✅ Support data extraction and querying using SQL to retrieve relevant datasets from databases for analysis and reporting. ✅ Assist in tracking and monitoring Key Performance Indicators (KPIs) to evaluate business performance and operational efficiency. ✅ Contribute to the development of automated reporting workflows, improving efficiency and reducing manual reporting efforts.

Data Analyst at Labmentix Private Limited, May 2025 - Aug 2025 · 4 mos, ✅ Performed Time Series Forecasting on FBI crime datasets using Python and Tableau, identifying temporal crime patterns and predictive insights. ✅ Improved prediction accuracy by 12% through advanced statistical modeling, forecasting techniques, and feature optimization. ✅ Built interactive Tableau dashboards to visualize crime trends, geographic distributions, and predictive insights for better data interpretation. ✅ Cleaned and transformed 50K+ records, handling missing values, outliers, and inconsistencies to ensure high data quality. ✅ Conducted Exploratory Data Analysis (EDA) to identify crime hotspots, seasonal trends, and behavioral patterns within the dataset. ✅ Utilized Python libraries such as Pandas and NumPy for data preprocessing, transformation, and analytical modeling. ✅ Applied statistical analysis and forecasting models to support predictive analytics and data-driven insights. ✅ Designed data visualizations and analytical reports to effectively communicate insights to stakeholders. ✅ Analyzed historical data to uncover patterns, correlations, and trends influencing crime incidents. ✅ Documented data analysis workflows and methodologies to ensure reproducibility and analytical transparency.Job ✅ Built a Credit Card Fraud Detection Model using Logistic Regression in Python, improving fraud detection accuracy by 15% through effective feature engineering and model optimization. ✅ Processed, cleaned, and prepared 100K+ transactional records, ensuring high data quality by handling missing values, duplicates, and inconsistencies. ✅ Addressed imbalanced datasets using advanced resampling techniques such as SMOTE and undersampling, improving model training performance and reliability. ✅ Conducted Exploratory Data Analysis (EDA) to identify fraud patterns, anomalies, correlations, and high-risk transactions. ✅ Developed data visualizations using Matplotlib and Seaborn to communicate analytical insights and fraud trends to stakeholders. .

Analyst at HCLTech, Dec 2020 - Jan 2023 · 2 yrs 2 mos, ✅ Analyzed system performance data and incident logs using SQL, identifying recurring issues and improving overall system uptime from 85% to 98%. ✅ Automated service request and SAR processes, reducing manual processing workload by 30% and improving operational efficiency. ✅ Developed dynamic Excel dashboards using Pivot Tables, charts, and data analysis tools to monitor ticket resolution metrics and operational KPIs. ✅ Conducted root cause analysis (RCA) for technical issues related to SCCM, VPN, and Outlook, improving issue resolution speed and service reliability. ✅ Generated weekly and monthly KPI reports using SQL and Excel to track performance indicators such as response time, resolution rate, and service efficiency. ✅ Monitored incident trends and operational performance data to support proactive issue management and continuous service improvement. ✅ Collaborated with technical support teams and stakeholders to analyze system issues and implement data-driven solutions. ✅ Utilized SQL queries and data extraction techniques to retrieve and analyze large datasets for reporting and operational insights. ✅ Assisted in identifying process optimization opportunities through data analysis and performance monitoring. ✅ Documented analysis findings, reports, and troubleshooting insights to support knowledge sharing and operational transparency

Education

Executive Master of Business Administration, Business Analytics, SRM IST Chennai

Bachelor of Technology, Computational Science, SR Engineering College