Data Science with less than a year in Machine Learning & AI Deployment
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Engineering Graduate, passionate about Machine Learning and AI deployment. Skilled in Python, Data Analytics, and end-to-end model development. Beyond model training, I specialize in deploying interactive AI tools using Streamlit and Fast API. Backed by a strong academic record and hands-on experience in NLP and blockchain-based systems, I am ready to drive quality and innovation in AI-powered environments.
Everest Engineering College, Pokhara University
Bachelor in Computer Engineering · Computer Engineering
August 1, 2021 – June 30, 2025
Children Life English Boarding School
+2 Science · Science
June 1, 2019 – May 31, 2021
Mindrisers
Data Science Intern
October 1, 2025 – February 1, 2026
India
Gold Price Forecasting & Trading Signals
June 1, 2026 – Present
Developed an Ensemble Voting Regressor (SVR & MLP) on 25 years of historical data to forecast prices. Implemented Buy/Sell signal logic and validated model robustness against a 5-year test set.
View ProjectQuadruped Long Jump Optimization (Unitree A1)
June 1, 2026 – Present
Engineered a Trajectory Optimization framework using Direct Collocation for a Unitree A1 robot. Conducted sensitivity analysis proving jump bounds were kinematic-limited, using only 7.1% of motor torque.
View ProjectTomato Grading CNN
June 1, 2026 – Present
Developed a custom CNN to classify produce into 4 stages; recognized for practical AI application. Optimized image processing using OpenCV to establish a benchmark for automated agricultural quality assessment.
View ProjectData Science with Python
MindRisers
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive and innovative approach to problem-solving, which aligns well with a dynamic data science environment. The diversity of projects (robotics, computer vision, financial modeling) suggests adaptability and a broad interest in applying AI/ML across different domains. The internship experience, though future-dated, indicates an intent to gain practical industry exposure. The publication also shows a willingness to contribute to the broader technical community.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on complex problems independently and a focus on practical application. The publication indicates research and documentation skills. However, without specific assessment data on collaboration, stress handling, or communication in a team setting, a full evaluation of soft skills and operational fit is limited.