Machine Learning specialist with strong analytical and problem-solving skills, prepared to drive impactful results. Skilled in Python, TensorFlow, and data visualization, with solid foundation in algorithms and statistical models. Highly collaborative team player, adaptable to evolving project needs, and consistently focused on achieving goals. Known for reliability and effective communication in fast-paced environments.
Python programming
PyTorch framework
Scikit-learn library
Data Analysis
Time series analysis
Model evaluation
HIGHER EDUCATION PREDICTION ALGORITHM | PYTHON
June 2022 – September 2022
•Developed an algorithm using classification techniques for having a seamless
experience of college admissions as per the student input
•Gathered data of students planning for higher education, their GRE, IELTS, TOEFL
scores, and the colleges they have joined.
•Obtained 89 percent accuracy after training the model to predict the colleges they
can get into.
COMMUNITY‑BASED DISASTER MANAGEMENT SYSTEMS USING ANALYTICAL
EVALUATION FRAMEWORKS | PYTHON
November 2023 ‑ December 2023
•Aim was to create a tweet classification model that can differentiate tweets
between Natural disasters and that are not.
•A data set of over 8000 tuples was used along with various models such as BERT,
LSTM, RNN, etc.
•Obtained average 70-80 percent accuracy and currently writing a research paper.
Secured ₹2 lakh prize money as winners of the Vodafone Idea Innovation Challenge, competing among teams nationwide. Collaborated effectively in a dynamic team of four to develop a state-of-the-art weapon detection system, utilizing advanced computer vision and deep learning techniques.