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Data Analyst | Data Science & GenAI Projects | Insight-Driven Decision Making
Data Analyst with a strong foundation in data cleaning, statistical analysis, and visualization, passionate about turning raw data into meaningful insights that drive business decisions. Skilled in Python, SQL, and data analysis libraries, with hands-on experience in building dashboards, extracting trends, and solving real-world problems through data-driven approaches. I enjoy working with structured and unstructured data, identifying patterns, and translating complex findings into clear, actionable insights for stakeholders. My interests include exploratory data analysis, predictive modeling, and business intelligence reporting. I continuously work on improving my analytical thinking, domain knowledge, and technical toolkit through projects and practical applications. Currently seeking opportunities where I can contribute to data-driven decision making, collaborate with cross-functional teams, and grow as a data professional while delivering measurable impact.
Jaypee University of Information Technology
Bachelor's degree, Computer Science
June 1, 2020 – July 1, 2024
TaskUs
Real Time Analyst
November 1, 2025 – Present
TaskUs
Teammate
March 1, 2025 – November 1, 2025
Concentrix
Technical Support
July 1, 2024 – February 1, 2025
Bengaluru, Karnataka, India · On-site
JUIT Youth Club (JYC)
Cultural Society Coordinator
August 1, 2022 – September 1, 2023
JUIT Youth Club (JYC)
Senior Member
August 1, 2021 – August 1, 2022
JUIT Youth Club (JYC)
Member
August 1, 2020 – August 1, 2021
Fake News Detection using Deep Learning
January 1, 2023 – July 1, 2023
In this project, I have concentrated on text-based news and developed a model that enables us determine whether a given piece of news is legitimate or fraudulent using deep learning algorithms.
Heart Diseases Prediction using Machine Learning
August 1, 2022 – December 1, 2022
In this project, I worked upon different Machine Learning Algorithms and developed a model which helps us determine different heart diseases and their respective levels of acuteness.
VEHICLE COUNTING AND CLASSIFICATION
April 1, 2022 – June 1, 2022
Python || OpenCV • Developed a computer vision-based vehicle counting system: created system for vehicle detection, tracking, counting, classification, speed estimation and traffic flow estimation. • Utilized OpenCV, Python v3.5+, and Anaconda: used these tools to create separate environment forthe project. • Developed different vehicle detection techniques: feature-based detection, hierarchical clustering, blob-based detection and tracking. • Conducted comparative analysis of the different vehicle counting techniques on datasets: compared performance of different techniques on datasets. • Demonstrated strong proficiency in computer vision, Python programming, and OpenCV library: showcase of strong technical skills.
Accenture North America - Data Analytics and Visualization Job Simulation
Forage
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows an interest in data science and machine learning, which aligns with analytical roles. However, the professional experience is primarily in customer service and support, which does not directly align with a senior Data Analyst role. The diversity of projects is good, but the depth of technical skills demonstrated in professional settings is limited for a senior position. The target role is 'Data Analyst', and while projects are relevant, professional experience is not.
Soft Skills & Operational Fit
The candidate has experience in roles like 'Real Time Analyst' and 'Technical Support' which suggests some operational exposure and potentially communication skills, though these are not directly assessed for a Data Analyst role. Leadership experience from university clubs indicates organizational and teamwork potential.