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Data Scientist with 1+ years in Data Analysis & Machine Learning
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst and Data Science professional with an MSc in Data Science and Analytics and hands-on experience in data analysis, SQL, Python, machine learning, and business reporting. Skilled in collecting, cleaning, analyzing, and interpreting structured and unstructured data to identify trends and generate actionable insights. Experienced in exploratory data analysis (EDA), data visualization, statistical analysis, and communicating findings to support data-driven decision-making. Seeking opportunities in Data Analytics, Business Intelligence, and Data Science.
University of Hertfordshire
MSc. · Data Science and Analytics
August 1, 2022 – June 30, 2024
Unified Mentor Pvt Ltd
Data Science Internship
July 1, 2025 – January 1, 2026
Gurgaon, Haryana, India
Outlier AI
AI Prompt Engineer
September 1, 2024 – June 1, 2025
United Kingdom
Customer Satisfaction Prediction using Machine Learning
September 1, 2022 – October 1, 2024
• Developed a machine learning solution to analyse and predict customer satisfaction using structured datasets • Performed data cleaning, preprocessing, and exploratory data analysis to identify inconsistencies and improve data quality • Investigated anomalies and debugging challenges during model development using systematic problem-solving approaches • Implemented and evaluated multiple machine learning models using cross-validation and standard performance metrics • Created structured workflows for data processing and analysis to improve reproducibility and operational efficiency • Documented technical processes, troubleshooting methods, and analytical findings for maintainability and clarity
View ProjectSentiment Analysis of Social Media Data using Machine Learning and Python
September 1, 2022 – October 1, 2024
• Developed an end-to-end sentiment analysis system using Python and NLP techniques • Performed text preprocessing including tokenisation, stop-word removal, and feature extraction • Built and evaluated multiple machine learning classification models for sentiment prediction • Conducted comparative performance analysis using model evaluation metrics • Generated actionable insights from large-scale unstructured social media datasets
Medicinal Leaf Identification using Deep Learning and CNN Models
September 1, 2022 – October 1, 2024
• Designed an image classification system for medicinal plant identification using CNN architectures • Applied deep learning techniques to extract complex image features from plant datasets • Analysed image characteristics including texture, shape, and colour for accurate classification • Implemented and evaluated CNN-based image recognition models using Python frameworks • Improved understanding of computer vision workflows and deep learning methodologies
Cultural Fit Analysis
The candidate's academic projects show a diverse application of data science techniques, from customer satisfaction prediction to sentiment analysis and image classification. The internship and prompt engineering roles indicate adaptability to different work environments (remote, internship) and a willingness to engage with emerging AI technologies. The stated interest in building an AI/ML portfolio and availability for various data-related roles suggests a proactive and flexible approach, contributing positively to cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving skills, attention to detail, and cross-functional collaboration through project descriptions. The prompt engineering role highlights an ability to work independently and maintain productivity in a remote, fast-paced environment. The candidate's interest in Generative AI and NLP aligns well with evolving industry needs.