Data Scientist with 1+ years 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
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
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
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
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.