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Python Engineer with less than a year in Data Analysis & Python.
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2025 Computer Science & Business Systems graduate with strong analytical, problem-solving, and business communication skills. Proficient in Python, SQL, Power BI, and data visualization with hands-on experience in exploratory data analysis, dashboard development, and business insight generation. Skilled in interpreting complex datasets, identifying trends, and delivering data-driven recommendations to support business decisions. Quick learner with strong adaptability and collaboration skills, eager to contribute to fast-paced digital transformation and analytics environments.
GITAM UNIVERSITY
B.Tech · Computer Science & Business Systems
August 1, 2021 – June 30, 2025
BIIT JUNIOR COLLEGE
Intermediate
June 1, 2021 – May 31, 2021
SRI CHAITANYA E.M HIGH SCHOOL
SSC
June 1, 2019 – May 31, 2019
Intel
Tele-ICU patient monitoring system
May 1, 2024 – July 1, 2024
India
Adidas US Sales Performance Dashboard
December 1, 2025 – Present
Developed an interactive Power BI dashboard to analyze 5,000+ sales records across multiple regions and retailers. Tracked business KPIs including revenue, profit margins, sales trends, and regional performance to support data-driven decision-making. Identified high-performing markets and seasonal demand patterns, enabling better pricing, inventory planning, and sales strategy optimization through visual analytics and reporting.
Exploratory Data Analysis on Flipkart
November 1, 2025 – Present
Built a Python-based web scraping pipeline using BeautifulSoup to extract and preprocess 1,000+ product records from Flipkart. Performed exploratory data analysis to identify pricing trends, customer rating patterns, and product category insights. Developed visual reports including heatmaps, box plots, and distribution charts to support business understanding and actionable recommendations.
View ProjectDrug recommendation system
August 1, 2024 – March 1, 2025
Designed and developed a machine learning-based recommendation system to suggest suitable medicines based on patient conditions and sentiment analysis. Implemented data preprocessing, model training, and predictive analysis techniques to improve recommendation accuracy.
Data Analytics Certification
Innomatics Research Labs
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse interest in data analysis, from sales performance to e-commerce insights and healthcare monitoring. This breadth of application suggests adaptability and a willingness to tackle different problem domains. The stated 'strong adaptability and collaboration skills' in the profile, along with involvement in team-oriented projects (implied by the Intel internship), indicate a potential for good cultural fit in a collaborative environment. However, the experience level is entry-level, which might require more mentorship.
Soft Skills & Operational Fit
The candidate's profile highlights strong analytical, problem-solving, and business communication skills. The project descriptions indicate an ability to work with data-driven decision-making and contribute to analytics environments. The Intel internship suggests an ability to work in a professional setting and contribute to critical systems. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.