Data Analyst with 1+ years in SQL, Power BI, and Python.
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Aspiring Data Analyst with hands-on experience in SQL, Power BI, Python, Excel, API integration, and data visualization through internships at Xtroverse IT Solutions, DRDO, and Edverciity. Skilled in data cleaning, ETL processes, dashboard development, exploratory data analysis, and transforming raw data into actionable insights. Proficient in SQL query optimization, API-based data extraction, and business reporting with a strong foundation in analytics and stakeholder-focused communication.
St. Vincent Pallotti COE&T, Nagpur
B.Tech · Computer Engineering
August 1, 2022 – Present
Vidharbh Buniyadi Jr. College, Nagpur
HSC · Science
N/A – May 31, 2022
Pandit Bachharaj High School, Nagpur
SSC
N/A – May 31, 2020
Xtroverse IT Solutions Pvt. Ltd.
Data Analyst Intern
March 1, 2026 – Present
India
Defence Research and Development Organisation (CAIR)
Research Intern
August 1, 2025 – February 1, 2026
India
Edverciity
Data Science Intern
February 1, 2025 – July 1, 2025
India
SaaS Subscription and Churn Analytics
January 1, 2026 – Present
Developed an end-to-end SaaS analytics solution using SQL, Python, Power BI, and Machine Learning to analyze customer subscriptions, revenue trends, and churn behavior. Performed data cleaning, transformation, exploratory data analysis (EDA), and feature engineering on large datasets. Designed and integrated SQL queries for data extraction, aggregation, KPI calculation, and reporting workflows. Built interactive Power BI dashboards to visualize customer retention, subscription performance, revenue metrics, and churn trends, enabling data-driven business decisions. Implemented an XGBoost-based churn prediction model achieving 94% accuracy and deployed the solution using Streamlit and Flask for real-time analytics and prediction.
Intelligent Tsunami Forecasting System
January 1, 2025 – January 1, 2026
Ingested real-time seismic data via NOAA and USGS APIs, extracting features including earthquake magnitude, depth, plate boundary proximity, and latitude-longitude coordinates. Performed preprocessing, feature scaling, and applied Isolation Forest for anomaly detection. Trained Random Forest classifiers with cross-validation; achieved 96% accuracy with precision-recall analysis to minimize false negatives. Built a Streamlit dashboard for real-time tsunami risk monitoring, visualizing live earthquake events on an interactive map. Research paper published.
Network Traffic Analysis & Threat Classification
January 1, 2025 – January 1, 2026
Ingested real-time threat intelligence via AlienVault OTX API, extracting malicious IPS, URLs, and DNS records. Applied ML and Deep Learning models for threat classification and anomaly detection based on traffic patterns. Constructed a Neo4j knowledge graph to model IP-domain-attack relationships with custom visualizations, enabling identification of C2 communication patterns and DNS tunneling behaviors.
Master Diploma in Data Science
Livetechskills
January 1, 2025 – Present
Data Mining
NPTEL
January 1, 2025 – Present
Joy of Computing in Python
NPTEL
January 1, 2023 – Present
Cultural Fit Analysis
The candidate exhibits a strong cultural fit through a diverse range of projects (SaaS analytics, tsunami forecasting, network traffic analysis) and internships across different organizations (IT solutions, defense research, education). This breadth of experience suggests adaptability, a willingness to learn new domains, and a collaborative spirit. Their academic achievements and research publication indicate a drive for excellence and continuous learning, which aligns well with a growth-oriented culture. The target role of Data Analyst is well-aligned with their demonstrated skills and career trajectory.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, analytical thinking, and communication skills through detailed project descriptions and internship experiences. Their involvement in team-based projects and mentoring activities suggests good collaboration and leadership potential. The candidate's ability to work with real-time data and integrate APIs indicates adaptability and a proactive approach to operational challenges. Participation in Agile Scrum workflows further supports their fit for dynamic team environments.