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Data Scientist with 1+ years in Machine Learning & Data Analysis
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist with 1.5 years of industry experience and a strong foundation in Computational Mathematics specializing in data-driven problem solving, predictive analytics, and statistical modeling. Hands-on experience in demand forecasting, machine learning model development, feature engineering, and data-driven decision making. Worked on end-to-end ML projects involving data extraction, EDA, model tuning, and client interaction. After a planned career break focused on skill enhancement and hands-on project work, now actively seeking Data Scientist opportunities to deliver business-impactful analytics solutions.
Jamia Millia Islamia
Master of Technology (M.Tech) · Computational Mathematics
August 1, 2020 – June 30, 2022
Career Break | Professional Upscaling
Tech - Python, SQL, Machine Learning, NLP, Deep Learning, Feature Engineering, Model Evaluation
November 1, 2023 – Present
New Delhi, Delhi, India
DeetsDigital Private Limited
Data Scientist
June 1, 2022 – October 1, 2023
Ahmedabad, Gujarat, India
Sales Demand Forecasting
June 21, 2026 – Present
• Built forecasting models using historical sales data • Performed feature engineering and trend analysis • Compared traditional and ML-based forecasting approaches • Selected optimal model based on business metrics and error analysis
Machine Learning Classification Project
June 21, 2026 – Present
• Conducted data preprocessing, EDA, and feature selection • Implemented multiple ML algorithms and performed cross-validation • Improved recall and accuracy through hyperparameter tuning • Interpreted model results from a business perspective
Cultural Fit Analysis
The candidate's academic projects and professional experience align well with a Data Scientist role, showcasing a breadth of skills in machine learning, data analysis, and forecasting. The career break for professional upscaling indicates a strong drive for continuous improvement and adaptability, which are positive indicators for cultural fit. The diversity of projects (classification, forecasting, unstructured data processing) suggests a versatile individual.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, attention to detail in data preprocessing and model evaluation, and a proactive approach to continuous learning and skill enhancement. Their experience in client interaction suggests good communication and collaboration abilities, which are crucial for operational fit in a data science role.