Akash Sare

I’m passionate about Data Science with a Master’s in Computer Science, and I enjoy turning complex data into practical, measurable outcomes. I bring strong technical, statistical, and visualization expertise to deliver impactful data science solutions.

In my current role as a Senior Backend Associate at WNS Global Services (Pune, 2021–Present), I process and validate large client datasets with high accuracy and compliance. I also streamlined data entry workflows with cross-functional teams, reducing turnaround time, while using Excel and reporting tools for cleaning, formatting, and trend analysis.

I’ve actively built my data science capability by learning Python, SQL, and ML to automate tasks and solve complex problems. My projects include Driver Safety Violation Detection using deep learning (MobileNet transfer learning, CNN/ReLU/dropout/batch normalization) and deployment via PyTorch, FastAPI, Streamlit, and Huggingface, evaluated with accuracy, precision, recall, and a confusion matrix.

I also developed an NLP-based Cyber Fraud Detection Assistant with scikit-learn classifiers (Naive Bayes, SVM, Decision Trees) achieving 92% accuracy, and I deployed a Flask REST API for real-time prediction. To extend this work, I built a Web Data Extractor with LLM querying using Flask, BeautifulSoup, and Groq LLM (LLaMA3) to extract structured data and enable LLM-driven insights.