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Data Science with 2+ years in Python, SQL & data visualization.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Current Data Analytics graduate with solid background in data visualization, statistical analysis, and programming in Python and SQL. Well-developed skill to extract insights from intricate data sets via scholarly projects and real-world experience. Seeking to join a data-driven team and utilize analytical abilities in support of well-informed decision-making in a progressive, growth-minded organization.
Aditya Degree College
BSc · Data Science
August 1, 2021 – June 30, 2024
Dr KKR Gowtham High School
Secondary [SSC]
June 1, 2019 – May 31, 2019
Sri Chaitanya Junior College
Senior Secondary [BIEAP]
June 1, 2019 – May 31, 2021
Innomatics Research Labs
Data Analytics Trainee
August 1, 2024 – Present
India
ULEARN academy
Artificial Intelligence and Machine Learning Intern
February 1, 2024 – April 1, 2024
India
Financial metrics of Top 500 companies in India
January 1, 2025 – Present
Scraped and analyzed Top 500 companies' financial metrics records using Requests and Beautiful Soup. Cleaned and processed data to achieve a 100% valid data set, handling missing values. Created multiple visualization including Heatmap, Box-plot, Pie chart, Bar graph, Scatter plot.
Hospital Management
January 1, 2025 – Present
Designed and implemented a relational database schema consisting of 10 interconnected tables to manage patient records, doctor details, appointments, billing, and medical history. Developed SQL queries to perform key operations such as tracking patient check ups, managing hospital workflows, and retrieving detailed reports. Utilized joins, Subqueries, and aggregate functions to generate insights on patient treatment history, departmental performance, and overall hospital management.
Real-Time Sales Monitoring Dashboard
January 1, 2025 – Present
Developed a real-time sales analytics dashboard using Python and Streamlit to monitor live transactional data. Built a producer-consumer data pipeline using Redis Streams, enabling near real-time ingestion of sales events. Designed dynamic KPI dashboards (total sales, hourly trends, growth %) supporting faster operational visibility. Containerized backend services using Docker and applied a rolling 24-hour analysis window, improving dashboard availability and reliability. Implemented anomaly detection logic to identify sales spikes and drops, improving issue detection time by ~40.
Power BI Workshop Certificate
Skill Nation
June 1, 2026 – Present
MePro Pearson English Certificate
Pearson
June 1, 2026 – Present
Machine Learning Internship Certificate
ULEARN Academy
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse interest in data science applications, from real-time sales monitoring to financial metrics analysis and hospital management. This breadth of exposure, combined with internships in Data Analytics and AI/ML, suggests an adaptable and curious individual. The objective statement emphasizes joining a data-driven, growth-minded organization, which aligns with a culture that values continuous learning and data-informed decisions. However, all experience is academic or internship-based, which might require a supportive environment for transitioning into a full-time professional role.
Soft Skills & Operational Fit
The candidate lists 'Active Listener', 'Adaptability', and 'Teamwork' as soft skills. Project descriptions indicate problem-solving and analytical thinking. The academic projects and internships suggest a foundational understanding of data science workflows, which aligns with operational needs for data-driven decision-making. However, the experience level is junior, indicating a need for significant guidance in a professional setting.