Help & Supportcareers@gravityer.com
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 Science with 1+ years in Data Analysis & Machine Learning
Artificial Intelligence and Data Science graduate currently pursuing an MSc in Artificial Intelligence at the University of East London. Experienced in Data Analysis, Machine Learning, SQL, Power BI, Tableau, and Python through internships, academic projects, and research work. Skilled in data cleaning, exploratory data analysis (EDA), feature engineering, predictive modeling, and interactive dashboard development. Proven ability to transform complex datasets into actionable insights and build data-driven solutions for real-world business problems. Strong analytical, problem-solving and communication skills with a passion for leveraging AI and data to drive informed decision-making.
University of East London
MSc Artificial Intelligence · Artificial Intelligence
May 1, 2026 – Present
CMR College of Engineering & Technology
Bachelor of Technology · Artificial Intelligence & Data Science
November 1, 2021 – July 1, 2025
Sri Chaitanya Junior College
HSC · MPC
May 1, 2019 – May 1, 2021
Little Buds High School
SSC · Board Curriculum
March 1, 2018 – March 1, 2019
SmartInternz
Machine Learning Intern
November 1, 2025 – April 1, 2026
Hyderābād, Telangana, India
SmartInternz
Data Analyst - Power BI Intern
November 1, 2025 – January 1, 2026
Hyderābād, Telangana, India
Elevate Labs
SQL Developer Intern
August 1, 2025 – October 1, 2025
Hyderābād, Telangana, India
Predictive Pulse: Harnessing Machine Learning for Blood Pressure Analysis
January 1, 2026 – April 1, 2026
Developing a machine learning model for blood pressure prediction using Python and health datasets. Performing data cleaning, feature engineering, and exploratory data analysis using pandas and NumPy. Evaluating model performance with appropriate metrics and optimizing accuracy through structured experimentation.
Power BI Inflation Analysis: Journeying Through Global Economic Terrain
December 1, 2025 – February 1, 2026
Developed an interactive Power BI dashboard to analyze global inflation trends using historical economic datasets. Performed data cleaning and transformation using Power Query and created calculated measures using DAX. Analyzed regional inflation patterns, year-wise trends, and economic variations through dynamic visualizations. Designed interactive visuals (filters, slicers, KPI cards, and charts) to provide actionable insights for data-driven decision-making.
Fraud Detection in Banking Data
August 1, 2024 – April 1, 2025
Built a supervised ML model to identify fraudulent transactions using banking data. Performed data preprocessing, feature engineering, and handled imbalanced datasets. Evaluated model performance to improve detection accuracy.
Data Analyst
ExcelR Edtech Pvt. Ld.
August 1, 2025 – Present
Enhancing Fraud Detection and Feature Engineering Techniques in Banking Data for Fraud Detection
ICCET 2025
March 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong interest and foundational skill set in Data Science, aligning well with the target role. The diversity of projects (inflation analysis, fraud detection, blood pressure prediction) shows a breadth of application areas. The pursuit of a Master's degree in AI further indicates a commitment to the field. However, all experience is academic or internship-based, which might require additional mentorship for a senior role.
Soft Skills & Operational Fit
The candidate's profile highlights strong analytical, problem-solving, and communication skills, which are crucial for a Data Science role. The project descriptions indicate an ability to work on end-to-end data science workflows, from data cleaning to actionable insights. The academic background and internship experiences suggest a proactive learning attitude and a foundational understanding of data-driven decision-making.