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Data Analyst with less than a year in Python & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst skilled in Python, SQL, Power BI, and Data Visualization with hands-on experience in data analysis and dashboard development. Proficient in building machine learning models and extracting actionable insights from complex datasets. Experienced in statistical analysis, predictive modeling, and real-world problem-solving through academic and practical projects. Passionate about transforming data into meaningful insights to support informed business decisions.
Hyderabad Institute of Technology and Management
Bachelor of Technology · Computer Science Engineering
November 1, 2022 – November 1, 2026
Telangana State Residential Junior College, Pochampad
Intermediate Public Examinations · Mathematics, Physics, Chemistry
June 1, 2020 – June 1, 2022
Zilla Parishad High School, Nyalkal
India Secondary School
N/A – March 1, 2020
Uptoskills
Data Analyst
October 1, 2024 – January 1, 2025
Delhi, Delhi, India
Crop Recommendation System Using Machine Learning
January 1, 2026 – Present
Developed a Machine Learning-based Crop Recommendation System to predict the top 5 suitable crops using soil nutrients (NPK), pH, temperature, humidity, and rainfall data. Implemented the Random Forest algorithm for accurate crop prediction and agricultural analytics. Integrated fertilizer and pesticide recommendation features to support sustainable farming practices. Added crop yield prediction and multilingual support to improve accessibility for farmers. Enabled data-driven farming decisions through predictive analytics and intelligent recommendations.
Sales Performance Dashboard
January 1, 2026 – Present
Designed an interactive Power BI dashboard to analyze sales trends, KPIs, and regional performance. Created DAX measures for revenue tracking, profit analysis, and product performance monitoring. Built dynamic charts, filters, and maps for effective business reporting and visualization. Enabled stakeholders to make data-driven decisions using real-time business insights.
Image Classification using CNN
January 1, 2026 – Present
Developed a CNN model for CIFAR-10 image classification with 95% accuracy. Implemented convolution, pooling, and dropout layers to improve model performance and generalization. Evaluated model performance using classification metrics and visualization techniques. Demonstrated practical knowledge of deep learning and computer vision concepts.
AI Assistant Multilingual Chatbot for Healthcare
January 1, 2026 – Present
Developed a multilingual AI-powered healthcare web application providing disease information, symptom analysis, first-aid guidance, emergency SOS support, and hospital locator services. Built a Random Forest machine learning model for symptom-based disease prediction with support for six Indian languages. Integrated Flask APIs with Node.js and MongoDB for backend communication and data management. Implemented JWT authentication, chatbot interaction, geolocation-based hospital search, and responsive UI design. Improved accessibility and healthcare assistance through multilingual AI-driven support systems.
SQL (Basic, Intermediate, Advanced)
Hacker Rank
June 1, 2026 – Present
Introduction to AI
Coursera (by Google)
June 1, 2026 – Present
Python Fundamentals
Infosys Springboard
June 1, 2026 – Present
Introduction to SQL
Simplilearn
June 1, 2026 – Present
Data Analytics & Visualization Tools Workshop
TCS Ion
June 1, 2026 – Present
Introduction to Prompt Engineering for Generative AI
Linkedin Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse interest in applying data analysis and machine learning to various domains like agriculture and healthcare. The target role of Data Analyst aligns well with the skills and project experience. However, the limited professional experience and focus primarily on academic projects suggest a need for further development in a corporate cultural setting.
Soft Skills & Operational Fit
The candidate's psychometric test score suggests a moderate fit in areas like logical reasoning and work attitude. Project descriptions indicate an ability to work on problem-solving and data-driven decision-making, which are positive for operational fit. However, the lack of professional experience beyond a short internship limits the assessment of real-world collaboration and stress handling.