Siddhi Sovle

Aspiring Data Scientist | ML & NLP Specialist
Delhi, IN.

About

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.

Work

Punjab National Bank
|

Data Analyst Intern

Delhi, Delhi, India

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.

CodeSpaze
|

ML Intern

Delhi, Delhi, India

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.

AI Variant
|

Data Science Intern

Delhi, Delhi, India

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.

Education

Vellore Institute of Technology, Bhopal
Bhopal, Madhya Pradesh, India

B.Tech.

Computer Science Engineering

Grade: 80%

Jain Heritage Cambridge School
Delhi, Delhi, India

High School Diploma

Higher Secondary

Grade: 88%

BDM International School
Delhi, Delhi, India

High School Diploma

Secondary Education

Grade: 93.20%

Awards

Finalist, IIT Kharagpur Data Science Hackathon

Awarded By

IIT Kharagpur

Recognized as a finalist in a prestigious data science hackathon, showcasing exceptional problem-solving and technical application skills.

Shortlisted Contributor, GirlScript Summer of Code

Awarded By

GirlScript

Selected as a contributor for the GirlScript Summer of Code, demonstrating strong coding proficiency and open-source collaboration potential.

Finalist, Datathon 2024 National Level Hackathon

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.

Data Scientist Contributor, Omdena Projects

Awarded By

Omdena

Contributed as a Data Scientist to over 5 Omdena projects, applying expertise to solve real-world problems and drive impactful solutions.

Languages

English
Hindi

Certificates

IBM Machine Learning with Python Certificate

Issued By

IBM

IBM Generative AI Essentials

Issued By

IBM

AWS Cloud Practitioner

Issued By

Amazon Web Services (AWS)

Data Science Certificate

Issued By

Excel R

Skills

Programming Languages

Java, Python.

Data Science & Machine Learning

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.

Tools & Frameworks

SQL, Pandas, NumPy, TensorFlow, Data Visualization, Matplotlib, Keras, PyTorch, Flask, Streamlit, Tableau, LangChain.

Version Control

Git, GitHub.

Cloud Platforms

AWS Cloud.

Projects

Bankruptcy Prediction

Summary

Developed a robust bankruptcy prediction system by leveraging advanced data analysis and machine learning techniques to identify key financial indicators.

AI Powered Money Laundering Platform

Summary

Designed and developed an AI platform utilizing a CatBoost classifier to detect money laundering activities with high accuracy and comprehensive reporting features.

Algorithmic Trading Strategy For BTC-USDT

Summary

Created an algorithmic trading strategy for BTC/USDT using machine learning and mean reversion principles to maximize profitability.

Restaurant-Name Generator

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.