**Ananya Dash**
**Data Scientist with [hidden] years of hands-on experience** in machine learning, data science, and real-time data analysis. Proficient in predictive modeling, data visualization, and driving multiple projects from inception to completion. Strong foundational expertise in model development, model evaluation, data pipeline optimization, and deploying scalable ML solutions. Actively pursuing knowledge in generative AI, large language models (LLMs), and transformer-based architectures to enhance NLP capabilities.
**WORK EXPERIENCE:**
**Data Scientist, SUZLON, Pune.**
May 2022 – Present
– Developed and implemented a predictive model using machine learning algorithms to analyze sensor data and reduce maintenance costs for wind turbines, resulting in a reduction of maintenance costs.
– Conducted exploratory data analysis (EDA) to identify critical patterns and trends, facilitating proactive maintenance and cost reduction measures for wind turbine operations.
– Designed and developed a “Smart Health Index” dashboard using PowerBI to visualize turbine health, facilitating quick assessments for cross-functional teams.
– Led the development of an SCM demand forecasting model using statistical and machine learning techniques, enhancing forecast accuracy by 30% and improving inventory management.
**Software Engineer, Blue Rose Technologies Pvt. Limited, Bengaluru.**
May 2021 – Apr 2022
– Design and develop software solutions and applications. Collaborate with cross-functional teams to gather user requirements and implement technical solutions.
– Write and review code to ensure high-quality software development. Troubleshoot production issues and collaborate with operations and support teams to resolve them.
– Implement software enhancements and new features based on user feedback and requirements.
**Data Scientist Intern, Innodatatics, Bengaluru.**
Apr 2021 – Aug 2021
– Developed a health insurance fraud detection system using machine learning algorithms, which identified fraudulent transactions with accuracy, resulting in substantial cost savings for the company.
– Implemented Natural Language Processing techniques for topic modeling in large text corpora, enhancing the company’s ability to derive meaningful insights and make informed decisions from unstructured data.
– Applied machine learning libraries like Scikit-learn, Pandas, and Numpy in Python for data preprocessing and model building, with NLP tasks handled through NLTK.
**PROJECTS:**
– Text Classification | NLP | Web Scrapping
– Health Insurance Fraud Detection | Chi-Square | Decision Tree
**EDUCATION & CERTIFICATION:**
**Dhaneswar Rath Institute of Engineering and Management Studies (DRIEMS), 2016 – 2020**
Bachelor of Engineering — Computer Science and Engineering (CSE)
**Certificates Obtained:**
– Data Science Course ExcelR Solutions – Aug 2020 – Mar 2021
– Big Data for Data Engineering Simplilearn – Jun 2021
– Text Analytics 101 IBM – Aug 2021
– Power BI The Tools – Dec 2022
**SKILLS:**
– Data Science – Python [Pandas, NumPy, Scikit-learn], EDA, Predictive modeling
– Machine Learning – Supervised, Unsupervised, Clustering, Model Development and Evaluation
– Data Visualization – PowerBI, EXCEL, Python
– NLP, SQL, Text Classification, Topic Modeling
**Keywords:**
Data Science, Machine Learning, Data Visualization, NLP, Python, EDA, Predictive modeling, Supervised Learning, Unsupervised Learning, Clustering, SQL, Topic Modeling.
Cover Letter:
Sure, please provide the data that I need to redact.
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