Highly accomplished Senior Fintech Python Developer with a Master's in Computer Science & Engineering, specializing in algorithmic trading, machine learning, and data analytics. Proven ability to develop and implement high-impact trading strategies, optimize data pipelines, and leverage deep learning for predictive modeling. Adept at transforming complex data into actionable insights, driving significant returns, and enhancing system efficiency in dynamic financial environments.
Senior Fintech Python Developer
Gujarat, Gujarat, India
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Summary
Spearheads the development and implementation of advanced algorithmic trading and investment strategies in equity markets, focusing on price action and robust risk management.
Highlights
Developed and deployed sophisticated algorithmic trading strategies leveraging price action, generating significant returns in equity stock markets.
Conducted rigorous backtesting on diverse trading and investment strategies, ensuring robust risk management frameworks and optimizing performance.
Enabled seamless algorithmic trading by integrating with multiple brokerage platforms (e.g., Kite, Sharekhan), eliminating manual intervention and enhancing execution efficiency.
Engineered robust data pipelines to collect, normalize, and store various types of stock-related data, foundational for advanced trading and backtesting systems.
Teaching Assistant, Data Analytics & Visualization Lab (4CP02)
Gujarat, Gujarat, India
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Summary
Guided 30 fourth-year undergraduates in practical programs related to big data technologies and NoSQL databases, enhancing their comprehension and practical skills.
Highlights
Assisted 30 fourth-year undergraduate students in understanding and implementing practical programs involving Apache Hadoop, Pig, Hive, HBase, Apache Spark, and MongoDB.
Facilitated hands-on learning and problem-solving, significantly enhancing student comprehension of complex data analytics and visualization concepts.
Teaching Assistant, Information Security & Android Programming Labs (3CP01 & 4CP49)
Gujarat, Gujarat, India
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Summary
Supervised the practical progress of third- and fourth-year undergraduates in information security and Android programming labs, ensuring effective learning outcomes.
Highlights
Supervised the practical progress of third- and fourth-year undergraduates in Information Security Lab (3CP01) and Android Programming Lab (4CP49).
Provided direct guidance and support to students, ensuring effective learning and successful completion of lab assignments.
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Masters of Technology
Computer Science & Engineering
Grade: 9.49 / 10.0
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Bachelor of Technology
Computer Science & Engineering
Grade: 8.73 / 10.0
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Class XII
All India Senior School Certificate Examination (CBSE)
Grade: 92.2%
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Class X
All India Senior School Certificate Examination (CBSE)
Grade: 93.1%
Awarded By
Birla Vishvakarma Mahavidyalaya Engineering College
Recognized for outstanding academic performance, securing the top rank in the Computer Department during the first semester of the MTech program.
Awarded By
All India Council for Technical Education (AICTE)
Awarded a prestigious scholarship for postgraduate studies, covering two years, based on exceptional performance in the GATE examination.
Awarded By
GCET College
Led the college table-tennis team, demonstrating leadership and teamwork skills.
Awarded By
Director, GCET College / Google
Recognized by the College Director for receiving full sponsorship from Google to attend Google I/O 2018, a rare achievement (only one in 25 years for the college).
Awarded By
Attended Google's annual developer festival in California, fully sponsored by Google, and recognized as the youngest among the top 18 attendees selected from India.
Awarded By
Principal, Charutar Vidya Mandal (CVM) University
Awarded for achieving First Runners-up in the Charutar Vidya Mandal (CVM) University Inter-College Table-Tennis Tournament.
Awarded By
Invited to attend Google's largest event in India, gaining insights into Android Things, Machine Learning, and Deep Learning.
Awarded By
MYSY (Mukhyamantri Yuva Swavalamban Yojana)
Awarded a merit-based scholarship that covered 50% of undergraduate college fees, recognizing academic excellence.
Algorithmic Trading, Quantitative Trading, Risk Management.
Python, Pandas, Numpy, Matplotlib, Seaborn.
Sklearn, Keras, Tensorflow, Recurrent Neural Networks (RNN), Transfer Learning, DeepSpeech, Convolutional Neural Networks (CNN), VGG16, ResNet50, InceptionV3, MobileNet, Ensemble Models, K-Means Clustering, K-Nearest Neighbors, Pytorch.
Data Pipelines, Data Collection, Data Normalization, NLP, POS Tagging, N-grams, TF-IDF, Word Embedding, GloVe, Apache Hadoop, Pig, Hive, HBase, Apache Spark.
MySQL, PostgreSQL, MongoDB, Advance Excel, Git, Github.
Kite, Sharekhan, urllib3, BeautifulSoup, Geopy, NLTK, Folium, Geopandas, Pynput.
Leadership, Team Work, Communication, Time Management.
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Summary
Developed an ensemble learning method leveraging deep reinforcement learning algorithms (PPO, SAC, A2C) to construct a model that manages a trading portfolio for NIFTY-50 stocks, integrating stock market indicators for trend forecasting.
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Summary
Constructed a facial emotion recognition model using Convolutional Neural Networks (CNN), overcoming limited data through advanced augmentation and transfer learning techniques.
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Summary
Built a naive Bayes classifier to categorize Twitter tweets and visualize sentiment and location data on a map.
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Created a predictive model for Parkinson's disease diagnosis, achieving 82% accuracy through an ensemble of regression models.
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Summary
Designed and implemented an advanced multi-model data analytics pipeline for 'A-View System', a collaborative virtual e-learning solution.
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Summary
Built a Convolutional Neural Network model for flower species identification using Transfer Learning and PyTorch.
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Summary
Developed a model to classify articles using K-Means clustering and K-Nearest Neighbors, extracting text data from webpages and utilizing TF-IDF.
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Summary
Built an automatic text summarization model using NLP concepts (NLTK, urllib3) to summarize paragraphs and research papers.