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Data Analyst Intern with 1+ years in data analysis, visualization, and SQL.
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Results-driven Data Analyst skilled in collecting, cleaning, and analyzing large datasets to uncover trends and deliver actionable insights. Leveraged Python, SQL, and data visualization tools to design dashboards, build predictive models, and optimize data-driven solutions. Demonstrated ability to transform raw data into meaningful business insights, enabling informed decision-making and improved performance.
North Eastern Regional Institute of Science and Technology
Bachelor of Technology · ECE
August 1, 2022 – May 1, 2026
North Eastern Regional Institute of Science and Technology
Certificate · ECE
November 1, 2020 – May 1, 2022
Labmentix
Data Analyst Intern
November 1, 2020 – May 1, 2022
India
OLA Ride Insights Dashboard
June 18, 2026 – Present
Audited 103K+ ride transactions and identified critical reporting gaps by detecting null-value anomalies and missing temporal attributes in raw operational datasets. Defined a business analytics pipeline, to monitor ₹35.08M in booking transactions and 10 key ride KPIs, by establishing data-to-dashboard requirements. Engineered an end-to-end ETL and analytics solution, enabling real-time filtering across 3 analytical dimensions, using Pandas, MySQL, Streamlit, and Power BI. Discovered actionable operational insights revealing customer cancellations were 60% higher than driver-related cancellations while tracking ₹35.08M revenue and a 4.0/5 rating, through interactive Power BI and Streamlit dashboards.
View ProjectReal Estate Investment Advisor
June 18, 2026 – Present
Managed a massive, unorganized dataset of 250,000+ Indian real estate listings characterized by widespread data inconsistencies and skewed pricing across 23 distinct property attributes. Targeted the development of a standardized data pipeline and an interactive web dashboard to streamline property evaluation, identify high-yield investment zones, and forecast market appreciation. Standardized 250k+ records via Pandas, extracted value-driven features (price/sqft, amenity_count), and architected a Streamlit application featuring multi-criteria filtering and interactive Plotly visualizations. Automated end-to-end investment analysis, standardized property rankings through a rule-based scoring engine, and quantified high-growth localities for strategic, data-driven capital allocation.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate initiative and a proactive approach to problem-solving, which aligns well with a dynamic work environment. The diversity of projects (ride-sharing analytics, real estate investment) shows adaptability and a broad interest in applying data analysis to different domains. The use of various tools and technologies (SQL, Python, Power BI, Streamlit) indicates a willingness to learn and apply new skills. The target role of 'Data Analyst Intern' aligns with the candidate's current experience level and project work, suggesting a good fit for an entry-level data role focused on learning and contribution.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a results-driven approach and an ability to identify critical reporting gaps and derive actionable insights. The experience in building interactive dashboards suggests a user-centric mindset. However, without direct assessment data, specific soft skills like teamwork, problem-solving under pressure, or communication in a team setting cannot be fully evaluated.