Software Engineer 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
Results-driven Software Developer & Data Analyst with hands-on experience building data-driven applications, machine learning models, and interactive dashboards. Proven ability to improve system performance, automate decision-making, and translate complex data into actionable insights. Strong foundation in Python, SQL, Power BI and Machine Learning with experience delivering production-ready solutions in agile, collaborative environments.
Sri Venkateswara Engineering College
BTech · Computer Science and Engineering (AI-ML)
August 1, 2021 – June 30, 2025
Viswasai Junior College
Class 12 · Intermediate Education
June 1, 2019 – May 31, 2021
Sai Millennium School
Class 10 - SSC
June 1, 2018 – May 31, 2019
Cashapona Technologies Private Limited
Python Software Intern
March 1, 2026 – May 31, 2026
India
Retail Sales & Customer Analytics Dashboard (Power BI)
January 1, 2025 – December 31, 2025
Built an end-to-end Power BI dashboard by modelling sales, product, and customer data using a star schema. Cleaned and transformed raw data using Power Query and created key DAX measures (Total Sales, AOV, Customer Count). Delivered actionable insights through interactive visuals highlighting sales trends, top products, and regional performance.
Portfolio using HTML & CSS
January 1, 2025 – December 31, 2025
Designed and developed a responsive portfolio website using HTML and CSS to showcase projects and skills. Structured content for clarity and usability, improving recruiter navigation and project visibility.
Optimized crop and fertilizer recommendations using machine learning for sustainable agriculture
January 1, 2025 – December 31, 2025
Designed and trained ML models (Random Forest, Decision Tree, CatBoost, ANN) to recommend optimal crops and fertilizers, improving decision accuracy by 15-20%. Built a data pipeline with preprocessing and feature engineering to improve prediction reliability and model performance. Integrated trained ML models to deliver real-time recommendations, reducing manual decision-making by ~30%.
Data Analytics
Datateach.AI
June 1, 2026 – Present
Python for Data Science and AI Development
IBM (Coursera)
June 1, 2026 – Present
Programming Essentials in Python
Cisco Networking Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse interest in data analytics, machine learning, and web development, suggesting adaptability and a willingness to explore different technical domains. The academic focus on AI-ML and various certifications indicate a proactive learning attitude. The internship experience in a software company shows an ability to integrate into a professional development environment. However, the overall experience level is entry-level, which might require more mentorship in a senior-level cultural setting.
Soft Skills & Operational Fit
The candidate's internship experience highlights collaboration in agile teams and participation in code reviews, indicating a foundational understanding of team dynamics and quality assurance processes. Project descriptions are clear and outcome-oriented, suggesting good communication skills in a technical context. The academic background in AI-ML aligns well with roles requiring analytical and problem-solving abilities.