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Data Science with less than a year in Machine Learning & Data Analysis.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with strong research skills and local knowledge of India's geography and culture. Proficient in data analysis and visualization using Python, SQL, and Power BI. Experienced in developing predictive models and interactive dashboards, committed to ensuring accurate navigation and business information. Proven ability to work independently as an independent contractor with flexible hours, applying analytical skills to real-world projects and internship
Pace Institute of Technology and Sciences
Bachelor of Technology · Computer Science and Engineering
October 1, 2021 – May 1, 2025
Sri Umamaheshwara Junior College
Intermediate (MPC)
June 1, 2019 – April 1, 2021
Sri Chaitanya High School
Secondary School Certificate (SSC)
June 1, 2018 – April 1, 2019
42Learn
Data Science and Machine Learning Intern
October 1, 2025 – March 1, 2026
India
Predicting Company Profit
June 1, 2026 – Present
Developed Machine Learning model for predicting tasks; Performed data preprocessing and exploratory data analysis (EDA) to extract meaningful insights; Applied classification/regression algorithms and evaluated performance; Tools Used: Python, Pandas, Scikit-learn, Matplotlib
Sales Dashboard
June 1, 2026 – Present
Built an interactive dashboard to track sales KPIs, regional performance, and product trends.; Created DAX measures for revenue, profit, and growth analysis.; Implemented data modeling and Power Query transformations for clean reporting.; Enabled business users to monitor performance through dynamic slicers and visuals.; Tech: Power BI, DAX, Power Query
Exploratory Data Analysis
June 1, 2026 – Present
Collected, cleaned, and analyzed data to generate insights supporting business decisions.; Documented findings and presented insights in a structured manner using charts and reports; Tech: Python, Pandas, NumPy, Matplotlib, Seaborn
Java
June 1, 2026 – Present
Responsive Web Design
Infosys Springboard
January 1, 2024 – Present
Cloud Foundations
AWS
January 1, 2024 – Present
Python Programming
January 1, 2022 – Present
SQL (Basic)
HackerRank
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's projects cover diverse aspects of data science, including dashboard creation, predictive modeling, and exploratory data analysis, indicating a broad interest within the field. The internship experience at 42Learn aligns well with a data science role, showing practical application of skills. The breadth of skills listed (Python, SQL, Power BI, ML, Cloud) suggests a willingness to learn and adapt, contributing positively to cultural fit. However, the experience level is entry-level, which might require more mentorship in a senior team.
Soft Skills & Operational Fit
The candidate demonstrates soft skills such as decision-making, teamwork, quick learning, and consistency, which are valuable for operational fit. Their experience in collaborating on data preprocessing and presenting insights indicates an ability to work within a team and communicate findings effectively. The candidate's self-description as an 'independent contractor with flexible hours' suggests adaptability, though this needs further validation for a structured team environment.