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Data Science with less than a year in Data Analysis & AI Engineering
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 Analyst and AI Engineering graduate with hands-on experience in data analysis, SQL, reporting, visualization, and analytics-driven problem solving. Skilled in data cleaning, exploratory data analysis, dashboard development, and transforming raw data into actionable business insights using Python, SQL, Excel, and visualization tools. Experienced in working with structured datasets, performing trend analysis, and presenting findings through clear reports and visualizations. Strong analytical mindset with excellent problem-solving and communication skills.
Malla Reddy Institute of Technology and Science
B.Tech · Computer Science and Engineering (AIML)
August 1, 2021 – June 30, 2025
Habytat
Frontend Developer Intern
November 1, 2025 – April 1, 2026
India
Enterprise Multi-Tenant RAG Platform with Compliance & RBAC
June 18, 2026 – Present
Developed an enterprise-grade Retrieval-Augmented Generation (RAG) platform for intelligent document retrieval and AI-assisted question answering. Built document ingestion and processing pipelines to handle large volumes of structured and unstructured enterprise data. Implemented role-based access control and compliance-aware retrieval workflows for secure information access. Integrated vector-based retrieval techniques and LLM-powered response generation to improve answer relevance and accuracy. Evaluated retrieval quality using Precision@K, MRR, and NDCG metrics and optimized retrieval performance. Worked extensively with PostgreSQL, Redis, APIs, and backend services to support scalable AI workflows.
Bitcoin Price Prediction and Time-Series Forecasting
June 18, 2026 – Present
Developed a data analytics solution using historical Bitcoin market datasets to forecast future price trends. Performed extensive data cleaning, preprocessing, feature engineering, and exploratory data analysis. Identified trends, anomalies, and correlations through statistical analysis and visualization techniques. Built predictive models and evaluated forecasting performance using analytical metrics. Generated visual reports and dashboards to communicate findings and support data-driven decision making. Automated data preparation and reporting workflows using Python.
Enterprise Multi-Tenant RAG Platform with Compliance & RBAC
June 18, 2026 – Present
Developed data ingestion and processing workflows for analyzing large volumes of enterprise documents. Performed retrieval analysis and evaluation using analytical metrics and reporting techniques. Worked extensively with PostgreSQL datasets, data transformation processes, and performance analysis. Generated reports and monitoring outputs to evaluate system effectiveness and retrieval quality. Implemented data validation mechanisms to ensure consistency and accuracy of processed information. Collaborated on analytical workflows supporting enterprise knowledge management systems.
Oracle Data Science Professional Certification
Oracle
June 1, 2026 – Present
Oracle Generative AI Professional Certification
Oracle
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects show a strong interest in AI/ML and data science, which aligns well with a Data Science role. The diversity of projects, from RAG platforms to Bitcoin price prediction, indicates a broad curiosity and willingness to tackle different problem domains. The certifications in Oracle Data Science and Generative AI further reinforce this alignment. However, the internship as a 'Frontend Developer Intern' with data analysis tasks, while showing versatility, might suggest a less focused career path at this early stage. The overall fit is moderate, leaning towards good due to project relevance.
Soft Skills & Operational Fit
The candidate demonstrates an analytical mindset and problem-solving skills through project descriptions. Collaboration with cross-functional teams and communication of findings are mentioned in the internship, indicating a foundational understanding of teamwork and operational communication. However, without specific behavioral assessment data, a deeper evaluation of soft skills and operational fit is limited.