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Data Science with 1+ years in Machine Learning & 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
Results-driven Data Scientist and Data Analyst with strong foundation in machine learning, statistical modelling, and data visualization. Experienced in Python, SQL, Power BI, Tableau, and NLP. Skilled in transforming data into actionable insights, building predictive models, and solving real-world business problems. Adept at working with large datasets.
SIES COLLEGE OF ARTS, SCIENCE AND COMMERCE
Master of Science · Data Science
August 1, 2023 – June 30, 2025
SIES COLLEGE OF ARTS, SCIENCE AND COMMERCE
Bachelor of Science · Computer Science
August 1, 2019 – June 30, 2022
QUALITY KIOSK TECHNOLOGIES PVT LTD.
Digital Quality Engineer
June 1, 2025 – Present
Mumbai, Maharashtra, India
BITROOT
Data Science Intern
April 1, 2024 – August 1, 2024
Mumbai, Maharashtra, India
Predicting Cricket Batsman Performance Using Machine Learning: A Generational Analysis
June 1, 2026 – Present
Developed ML model predicting batsman performance across generations using historical match data. Utilized regression models and statistical analysis to evaluate bowler-batsman interactions.
ROYAL ENFIELD SALES PREDICTION
January 1, 2018 – December 31, 2023
Built Time-Series Forecasting model using Facebook Prophet to forecast Royal Enfield sales. Achieved 70% accuracy forecasting future sales using data from 2018 to 2023. Presented actionable insights using Power BI.
The Spark Foundation Data Science Virtual Internship
Unknown
June 1, 2026 – Present
British Airways Data Science Virtual Internship
Unknown
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, including sales prediction and sports analytics, shows initiative and a broad interest in applying data science to different domains. The virtual internships further demonstrate a proactive approach to learning and skill development. While the current full-time role is not directly data science, the internship and academic background align well with a data science culture focused on continuous learning and problem-solving. The candidate appears to be driven by practical application of skills.
Soft Skills & Operational Fit
The candidate demonstrates an ability to apply theoretical knowledge to practical projects, as seen in their internship and personal projects. Their experience in UAT suggests attention to detail and a structured approach to problem-solving, which are valuable in data quality and validation. However, the current role as a Digital Quality Engineer is not directly aligned with a Data Science operational fit, indicating a potential gap in continuous hands-on data science work.