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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
Mathematics postgraduate with hands-on experience building predictive models and data-driven solutions using Python and machine learning. Skilled in analyzing real-world datasets, developing end-to-end ML pipelines, and translating data into actionable business insights. Strong problem-solving mindset with a focus on applying AI and analytics to solve practical business challenges.
Jaypee Institute of Information Technology (JIIT)
Master of Science · Mathematics
August 1, 2023 – June 30, 2025
PDM University
Bachelor of Science (Hons.) · Mathematics
August 1, 2019 – June 30, 2022
Gunvatta Gurukul, Quality Council of India
Trainee
November 1, 2025 – January 1, 2026
India
IIT Indore, AMG Lab
Research Intern
May 1, 2024 – July 1, 2024
India
Deloitte Australia Data Analytics Simulation
June 27, 2026 – Present
• Conducted structured data analysis to derive actionable business insights aligned with real-world consulting scenarios • Performed data cleaning and interpretation to support data-driven decision-making and problem-solving
Gradient-Based Interval Optimization
June 27, 2026 – Present
• Designed an interval optimization framework using gradient-based techniques to model uncertainty and improve prediction reliability in complex systems • Developed an end-to-end ML-based forecasting pipeline for renewable energy, integrating predictive modeling to enhance robustness under fluctuating conditions
Bikeshare Demand Forecasting
June 27, 2026 – Present
• Built forecasting models in R using historical data to predict demand trends across different time periods • Applied statistical techniques to capture seasonality and improve prediction reliability
Online Retail Exploratory Data Analysis
June 27, 2026 – Present
• Performed EDA on large retail datasets using Python to uncover customer behavior patterns • Generated actionable insights through data cleaning, transformation and visualization to support business decisions
Fine-Tuning LLMs for NLP
June 27, 2026 – Present
• Fine-tuned transformer-based models for text classification tasks using NLP techniques on unstructured textual datasets • Extracted meaningful patterns and features from text data to improve model performance and real-world applicability
Python for Data Science, AI & Development
IBM (Coursera)
August 1, 2025 – Present
Machine Learning Specialization
Stanford University (Coursera)
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a good diversity of academic, personal, and professional (simulation/internship) projects, indicating a proactive learning approach and a willingness to apply skills in different contexts. The target role of Data Science aligns well with the candidate's educational background in Mathematics and their demonstrated technical skills in ML, AI, and data analysis. The certifications further underscore a commitment to continuous learning and skill development relevant to the field.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a problem-solving mindset and an ability to translate data into actionable insights. The academic and internship experiences suggest a capacity for research, analytical thinking, and structured data analysis. However, without direct assessment data, specific soft skills like teamwork, leadership, or stress handling cannot be definitively evaluated.