Help & Supportcareers@gravityer.com
Data Analyst with 2+ years in Business Intelligence & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with 2+ years of experience in business intelligence, financial analytics, statistical analysis, and reporting automation. Proficient in SQL, Power BI, Python, and Excel, with experience analyzing 100K+ records, developing KPI dashboards, automating analytical workflows, and supporting stakeholder decision-making. Skilled in data visualization, ETL processes, predictive modeling, and transforming complex datasets into business insights to improve operational efficiency and reporting accuracy.
Dr. D.Y.Patil College Pune
M.Sc Statistics · Statistics
August 1, 2021 – June 30, 2023
P. E. S. Modern College Pune
B.Sc. Statistics · Statistics
N/A – June 30, 2021
Kalkine Consultancy Co
Data Analyst
December 1, 2025 – Present
Noida, Uttar Pradesh, India
Straive
SME
October 1, 2023 – October 1, 2025
Chennai, Tamil Nadu, India
E-Commerce Customer Analytics and Satisfaction Prediction Platform
June 1, 2026 – Present
Built an end-to-end e-commerce analytics and machine learning platform using Python, Power BI, Streamlit, and Scikit-learn on 100K+ transactional records from the Olist marketplace dataset. Produces interactive Power BI dashboards and business reports analyzing revenue trends, customer behavior, delivery performance, regional sales insights, inventory patterns, and operational KPIs across 27 Brazilian states. Performed customer segmentation and behavioral analysis using RFM methodology to identify customer value patterns and support targeted business strategies. Implemented a Random Forest classification model to analyze customer satisfaction patterns, achieving 84% prediction accuracy and 0.82 weighted F1-score. Created an interactive Streamlit dashboard application for customer satisfaction analysis and business reporting.
Bike Sharing Demand Forecasting
June 1, 2026 – Present
Developed end-to-end ETL pipeline using Python and SQLite to process 50k+ bike rental records for historical and real-time data. Constructed time-series forecasting models (ARIMA/Prophet) to predict demand trends for upcoming 30 days. Crafted a Power BI dashboard for 31k+ bikes to visualize demand patterns and operational insights. Estimated 15-20% improvement in operational efficiency through demand forecasting.
AI-Powered EDA Tool
June 1, 2026 – Present
Architected a conversational data analysis tool using Streamlit and LangChain. Enabled automated EDA and visualization across datasets containing 10K+ records using natural-language queries. Integrated 10+ analytical functions using Pandas and Matplotlib for automated exploratory analysis. Improved accessibility of data insights for non-technical users.
Power BI Training
Unknown
June 1, 2026 – Present
Base SAS 9.4 Training Course
Unknown
June 1, 2026 – Present
Data Science Architect Masters Program
Unknown
June 1, 2026 – Present
Artificial Intelligence Course
Unknown
June 1, 2026 – Present
Python for Data Science Training
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including e-commerce analytics, bike sharing demand forecasting, and an AI-powered EDA tool, shows a broad interest in applying data analysis to various domains. The target role of Data Analyst aligns well with the candidate's academic background, professional experience, and project work, indicating a strong cultural fit for data-centric roles. The breadth of skills across programming, visualization, and analytics also supports adaptability.
Soft Skills & Operational Fit
The candidate demonstrates good communication skills through clear project descriptions and professional experience. Collaboration with cross-functional teams is mentioned, indicating a team-oriented approach. The projects highlight an ability to improve operational efficiency through data-driven solutions.