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Data Analyst with less than a year in Data Analysis & Machine Learning in IT Industry
Results-driven Business Analyst with 0.7 years of experience in IT Industry with proven expertise in requirement gathering, documentation, user acceptance testing (UAT), and business process optimization, leveraging analytical skills to deliver efficient and scalable IT solutions. Collaborated with cross-functional teams and pharmaceutical clients to deliver compliant digital solutions, ensuring alignment with industry regulations and project requirements. Proficient in SQL, Power BI, and Python, applying advanced problem-solving and data analysis skills to optimize business processes and enable data-driven decision-making. Data Analyst proficient in machine learning and Power BI, skilled at extracting insights, building predictive models, and optimizing data-driven strategies to support informed decision-making, enhance efficiency, and drive measurable business growth across industries.
Certified in Machine Learning with Data Science
Internship & Training Program
June 1, 2022 – August 1, 2022
Jaipur Engineering College and Research Centre
B.Tech. · Electronics and Communication
August 1, 2020 – June 30, 2024
LEUCINE - Al For Pharma
Solution Architect
March 1, 2025 – May 1, 2025
India
LEUCINE - Al For Pharma
Business Analyst - Intern
November 1, 2024 – February 1, 2025
India
UPFLAIRS Private Limited
Data Science / Machine Learning Intern
June 1, 2022 – August 1, 2022
India
Mobile Price Classification System
June 1, 2026 – Present
Implemented a machine learning classification system to categorize mobile phones based on specifications, brand, and performance. Utilized Python libraries (Pandas, NumPy, Scikit-Learn) for data preprocessing, model training, and evaluation. Improved decision-making by providing accurate price category predictions for diverse datasets.
Medicine Recommendation System
June 1, 2026 – Present
Developed a recommendation engine to suggest medicines based on user symptoms and medical history. Enhanced recommendation accuracy through machine learning algorithms and feature engineering. Designed a user-friendly interface enabling real-time updates and seamless interaction with the system.
Sales Dashboard
June 1, 2026 – Present
Built an interactive Dashboard in Power BI to visualize company sales performance and KPIs. Imported and transformed data from Excel using Power Query; applied data modelling to establish relationships between tables. Leveraged DAX measures, slicers, cards, and advanced visuals to deliver actionable insights for business stakeholders.
Cultural Fit Analysis
The candidate's academic projects show initiative in applying data analysis and machine learning to diverse problems (mobile price classification, medicine recommendation, sales dashboard). Their professional experience, though brief, includes roles in a regulated industry (Pharma), indicating an ability to adapt to structured environments. The blend of technical skills (ML, Power BI, SQL) with business analysis experience suggests a candidate who can bridge technical and business needs, which is a good cultural fit for data-driven organizations.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through working with cross-functional teams and pharmaceutical clients. Their experience in UAT and requirement gathering indicates an operational fit for roles requiring meticulous attention to detail and stakeholder alignment. The ability to resolve client tickets and prepare analytical reports suggests good problem-solving and communication in an operational context.