Freelancers using NLTK in BengaluruFreelancers using NLTK in Bengaluru
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Sowmya Lanka's avatar
Sowmya Lanka
Bengaluru, India
Data Scientist | ML, NLP & GenAI Solutions
New to Contra
Data Scientist | ML, NLP & GenAI Solutions
Cover image for What I built Developed a Natural
What I built Developed a Natural Language Processing (NLP) solution to detect DI Flag issues by analyzing and classifying text descriptions. How it works Cleaned text data by removing hashtags, HTML tags, special characters, and numeric values. Applied text preprocessing techniques including tokenization, stop-word removal, stemming, and lemmatization. Converted text into numerical features using Bag of Words (BoW) and TF-IDF. Trained and evaluated the model using accuracy and confusion matrix metrics. Performed 30 days of validation testing before production deployment. Technologies Python · NLP · Scikit-learn · TF-IDF · Bag of Words · Pandas · NumPy Outcome Built a text classification solution that helped identify DI Flag issues from descriptions and validated the model's performance before deployment.
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Cover image for What I built Developed an automated
What I built Developed an automated clinical text summarization solution using Google Gemini AI and prompt engineering to generate concise summaries from lengthy clinical chart notes, transcripts, and unstructured medical text. How it works Processed lengthy clinical notes and transcripts. Used prompt engineering to guide Gemini in identifying important medical information. Extracted key details such as symptoms, diagnoses, medications, and treatment plans. Generated concise, readable summaries from the original clinical text. Technologies Google Gemini AI · Python · Prompt Engineering · NLP · Generative AI Outcome Reduced clinical chart review time by approximately 30%, helping healthcare professionals identify important information more quickly and efficiently.::
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Cover image for What I built Developed a machine
What I built Developed a machine learning solution to predict Buy Box and sales prices using historical analytical data and Linear Regression. How it works Analyzed the data for linear relationships, autocorrelation, multicollinearity, homoscedasticity, and normally distributed errors. Applied Principal Component Analysis (PCA) for dimensionality reduction and to improve model performance. Identified key business factors influencing price prediction. Evaluated the model using R², Adjusted R², RMSE, MAE, and MSE metrics. Technologies Python · Pandas · NumPy · Scikit-learn · Linear Regression · PCA Outcome Built a price prediction model that identified important business drivers and evaluated prediction performance using multiple regression metrics.
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Cover image for AI-Powered Policy Q&A Assistant Built a
AI-Powered Policy Q&A Assistant Built a Retrieval-Augmented Generation (RAG) chatbot using Azure OpenAI GPT to answer policy-related questions with accurate, context-aware responses. What I built Extracted and structured information from policy documents into a knowledge base. Used Azure Cosmos DB for scalable information storage and retrieval. Implemented RAG to retrieve relevant policy information based on user queries. Integrated Azure OpenAI GPT to generate natural-language, context-aware answers. Technologies Python · Azure OpenAI · GPT · RAG · Azure Cosmos DB · LangChain Outcome The solution enables users to quickly find relevant information from policy documents without manually searching through lengthy documents.
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NLTK(2)
Sinchana T's avatar
Sinchana T
Bengaluru, India
Turning ideas into scalable web systems
Turning ideas into scalable web systems
Cover image for Audio / Text to Indian
Audio / Text to Indian Sign Language Converter Built a web-based accessibility application that converts audio and text into Indian Sign Language (ISL) to help improve communication for people with hearing impairments. The system uses the Web Speech API for speech-to-text conversion and applies NLP techniques to process and simplify text before mapping it to corresponding ISL gesture animations for clear visual output. Tech stack: Django, JavaScript, HTML, CSS, NLTK Focused on accessibility, inclusivity, and real-world usability.
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Cover image for AI-Powered E-Waste Management Platform: Sustainable Tech Sol...
Project Goal: Designed and developed a full-stack, AI-powered e-waste management platform to promote responsible electronic waste disposal while enabling value recovery, recycling discovery, and convenient pickup services. • Built RESTful backend APIs using FastAPI / Node.js for authentication, classification workflows, facility management, pickup scheduling, and marketplace operations • Integrated an AI image classification model to categorize e-waste into recyclable, reusable, or hazardous types • Implemented a facility locator with map integration to identify nearby certified recycling centers • Developed a rule-based value estimation engine for resale and scrap pricing • Created a slot-based pickup scheduling system with confirmation flow • Integrated Razorpay payment gateway for secure online transactions
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Cover image for File Management & Sharing Web
File Management & Sharing Web App Built a web-based application to upload, organize, manage, and share files securely with folder support. Key features: • Upload multiple files at once to folders or root • Create and delete folders dynamically • Download and delete files easily • Generate shareable links with expiration • Copy share links instantly to clipboard Cloud & backend: Files stored securely in AWS S3 Metadata managed in MongoDB Backend built with Node.js & Express Frontend: Responsive UI using React and Tailwind CSS Designed for scalability, secure file handling, and smooth user experience.
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NLTK(1)
Aditya Singh's avatar
Aditya Singh
Bengaluru, India
Finance & Analytics | Python Automation & Power BI
New to Contra
Finance & Analytics | Python Automation & Power BI
Cover image for Role: AI Automation Developer Description: Developed
Role: AI Automation Developer Description: Developed an automated system to process and analyze 1,000+ financial news reports using Natural Language Processing (NLP). The system performs sentiment-based investment scoring, allowing for rapid decision-making in volatile markets. Tools: Python (NLTK, Pandas), Jupyter Notebook. Impact: Reduced manual analysis time by 90% through automation.
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Cover image for Role: Quantitative Developer Description: Built a
Role: Quantitative Developer Description: Built a custom Python toolkit designed for automated stock return analysis and risk-reward plotting. This project streamlines the portfolio management process by visualizing technical indicators and identifying optimal entry/exit points based on historical data. Tools: Python, Matplotlib, SQL. Impact: Automated the generation of technical reports, replacing 4+ hours of manual spreadsheet work.
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Cover image for Role: Financial Analyst Description: Created a
Role: Financial Analyst Description: Created a comprehensive Discounted Cash Flow (DCF) and ratio analysis model to contrast the financial health of two distinct business models (Adani vs. CBRE). This involved detailed valuation, sensitivity analysis, and strategic forecasting. Tools: Advanced Excel, Bloomberg Terminal, Financial Modeling. Impact: Delivered a structured comparison used for strategic investment recommendations.
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Cover image for Role: Data Visualization Lead Description: Led
Role: Data Visualization Lead Description: Led a 4-member team at Infosys Springboard to transform 10,000+ rows of raw consumer data into an interactive sentiment-tracking dashboard. By unpivoting datasets and creating custom DAX measures, I identified a 25% surge in negative feedback related to product packaging, providing actionable insights for R&D. Tools: Power BI, Power Query, DAX, Excel. Impact: Awarded "Best Project" (1 of 6) for technical depth and business relevance.
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NLTK(1)
Shraddha Ruidas's avatar
Shraddha Ruidas
Bengaluru, India
Expert ML Engineer & Data Scientist
Expert ML Engineer & Data Scientist
Cover image for LLM_detect_TfIdf_ensembleclassifier
LLM_detect_TfIdf_ensembleclassifier
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Cover image for LLM_detect_bert
LLM_detect_bert
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Cover image for Kaggle uses cookies from Google to deliver and enhance the qual…
Kaggle uses cookies from Google to deliver and enhance the qual…
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NLTK(1)