Bankruptcy Prediction
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Summary
Developed a robust bankruptcy prediction system by leveraging advanced data analysis and machine learning techniques to identify key financial indicators.
Highly motivated and results-driven B.Tech (CSE) student with hands-on experience in Data Science, Machine Learning, and Natural Language Processing. Proven ability to develop and deploy AI-powered solutions, analyze complex datasets, and build predictive models with high accuracy. Seeking to leverage strong analytical skills and technical expertise to drive innovation and solve real-world problems in a dynamic data science role.
Data Analyst Intern
Delhi, Delhi, India
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Summary
As a Data Analyst Intern at Punjab National Bank, Siddhi Sovle applied advanced machine learning models to enhance predictive capabilities and identify critical data patterns.
Highlights
Developed and implemented advanced machine learning models, including CatBoost, to significantly improve prediction accuracy for financial data.
Utilized data preprocessing and clustering techniques to uncover hidden patterns within large datasets, enhancing predictive insights for risk assessment.
Built Time Series Forecasting models using LSTM to generate more accurate future predictions based on historical financial data.
ML Intern
Delhi, Delhi, India
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Summary
As an ML Intern at CodeSpaze, Siddhi Sovle focused on enhancing the interpretability of NLP models and leveraging large language models for advanced conversational AI.
Highlights
Explored and implemented diverse visualization techniques for NLP models, enhancing their interpretability and user understanding.
Leveraged Large Language Models (LLMs) to significantly improve the naturalness and effectiveness of chatbot conversations.
Designed and developed personalized interview preparation experiences by applying advanced LLM capabilities, demonstrating practical application of AI in user-centric solutions.
Data Science Intern
Delhi, Delhi, India
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Summary
As a Data Science Intern at AI Variant, Siddhi Sovle leveraged data analysis and machine learning to support business decision-making and risk assessment.
Highlights
Executed comprehensive data analysis using Python, SQL, and Tableau, generating visual reports that informed strategic business decisions.
Developed and deployed a machine learning model to accurately assess financial risk, significantly improving the precision of decision-making with higher accuracy.
Collaborated with cross-functional teams to translate complex data insights into actionable recommendations for business growth and operational efficiency.
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B.Tech.
Computer Science Engineering
Grade: 80%
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High School Diploma
Higher Secondary
Grade: 88%
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High School Diploma
Secondary Education
Grade: 93.20%
Awarded By
IIT Kharagpur
Recognized as a finalist in a prestigious data science hackathon, showcasing exceptional problem-solving and technical application skills.
Awarded By
GirlScript
Selected as a contributor for the GirlScript Summer of Code, demonstrating strong coding proficiency and open-source collaboration potential.
Awarded By
Somaiya Vidyavihar, Mumbai
Achieved finalist status in a 24-hour national-level hackathon, showcasing rapid data analysis and solution development capabilities under pressure.
Awarded By
Omdena
Contributed as a Data Scientist to over 5 Omdena projects, applying expertise to solve real-world problems and drive impactful solutions.
Issued By
IBM
Issued By
IBM
Issued By
Amazon Web Services (AWS)
Issued By
Excel R
Java, Python.
Natural Language Processing (NLP), Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analysis, Predictive Modeling, Time Series Forecasting, CatBoost, LSTM, LLMs, RLHF, Prompt Engineering.
SQL, Pandas, NumPy, TensorFlow, Data Visualization, Matplotlib, Keras, PyTorch, Flask, Streamlit, Tableau, LangChain.
Git, GitHub.
AWS Cloud.
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Summary
Developed a robust bankruptcy prediction system by leveraging advanced data analysis and machine learning techniques to identify key financial indicators.
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Summary
Designed and developed an AI platform utilizing a CatBoost classifier to detect money laundering activities with high accuracy and comprehensive reporting features.
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Summary
Created an algorithmic trading strategy for BTC/USDT using machine learning and mean reversion principles to maximize profitability.
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Summary
Explored and implemented Generative AI using the Mistral-7B-Instruct-v0.3 model to dynamically generate restaurant names and menu items based on specified cuisines.