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AI Engineer with less than a year in Python and Machine Learning.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Driven B.Tech CSE student with 2 AI/ML internships, a 100-hour AI certification, and real-time project experience including a crime prediction model with 97% F1-score. Skilled in Python, Java, Django, and REST APIs with strong analytical and collaborative abilities. Seeking an entry-level Software Engineer / Analyst role where I can apply my skills in Python, Java, and Machine Learning to build scalable solutions and contribute to organisational success.
Vignan's Nirula Institute of Technology and Science for Women
B.Tech · Computer Science and Engineering (CSE)
September 1, 2022 – June 30, 2026
Jupiter Junior College
BIEAP (Class XII) · MPC
June 1, 2020 – April 1, 2022
Sarojini Vidyalayam School
SSC (Class X)
June 1, 2019 – April 1, 2020
Purple Technologies
ML INTERN
May 1, 2024 – July 1, 2024
India
IBM Skill Build (APSSDC / EDUNET)
AI Intern
March 1, 2024 – April 1, 2024
India
Machine Learning Intern – Hill Climb Racing game using Hand Gestures
June 1, 2026 – Present
Developed a real-time gesture-controlled gaming system using Python, OpenCV, and MediaPipe to replace traditional keyboard controls with webcam-based hand gesture recognition. Implemented hand landmark detection and gesture classification logic using MediaPipe and integrated Pynput for real-time keyboard event simulation to control acceleration and braking in the Hill Climb Racing game.
View ProjectEnergy Consumption Forecasting in Smart Homes using ML
June 1, 2026 – Present
Developed a full-stack smart home energy forecasting web application using Python, Django, and Machine Learning to predict household energy consumption based on environmental and appliance usage data. Trained and evaluated multiple regression models using scikit-learn, integrated the best-performing model into Django backend, and visualized predicted vs target energy consumption using Matplotlib charts.
View ProjectThe Joy of Computing Using Python
NPTEL
June 1, 2026 – Present
AI Foundation and Primer track
Infosys Springboard
June 1, 2026 – Present
Data Analytics Virtual Internship Power BI dashboards
Deloitte Forage
June 1, 2026 – Present
Programming in Java
NPTEL
June 1, 2026 – Present
AI Fundamentals – Data Acquisition (Level 1)
Accenture
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a proactive approach to learning and applying AI/ML concepts. Involvement in leadership activities and peer-reviewed articles suggests a collaborative and growth-oriented mindset. The diversity of projects (gaming, smart homes, crime prediction) indicates adaptability and a willingness to tackle different problem domains, which aligns well with a dynamic work environment. However, the experience is primarily academic and internship-based, so real-world cultural fit in a corporate setting is yet to be fully proven.
Soft Skills & Operational Fit
The candidate lists logical thinking, effective communication, team collaboration, problem-solving, adaptability, and time management as soft skills. Project descriptions indicate an ability to work on end-to-end solutions and integrate different technologies, suggesting good operational fit for project execution. However, without direct assessment, the depth of these soft skills cannot be fully validated.