Anaji Kadam
Data Science Manager @Mahindra Finance
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WORK HISTORY
Data Science Manager @Mahindra Finance
EDUCATION
GreyAtom
Master's Diploma, Data Science and Machine Learning Program
N V Kulkarni High School, Pangrad
SSC, General Studies
Sindhudurg Shikshan Prasarak Mandal College of Engineering,kankavli
Bachelor of Engineering - BE, Computer Engineering
Dadasaheb Tirodkar Junior College, Pandur
HSC, Computer Science
ABOUT ANAJI KADAM
As a Data Science certified professional with over 2+ years of immersive experience, I am passionate about transforming raw data into meaningful insights. My journey as a dedicated ML Engineer has been marked by a commitment to developing and deploying impactful Machine Learning models using Python programming.In my career, I have honed my skills in data analysis, model selection, and optimization techniques, consistently striving for excellence. Proficient in a spectrum of ML frameworks and libraries including TensorFlow and Scikit-learn, I specialize in leveraging historical data to create positive and impactful products.My expertise spans across Machine Learning, Deep Learning, and NLP technologies. I am adept at developing prototypes and analytical models that address real-world challenges. Having successfully managed machine learning projects, I collaborate seamlessly with cross-functional teams to gather and analyze data, ensuring effective project outcomes.My hands-on experience extends to utilizing key Data Science Libraries in Python for robust data analysis and visualization. From NumPy and Pandas for data manipulation to SciPy and Scikit Learn for advanced analytics, and from Matplotlib and Seaborn for visualization to NLTK and Spacy for NLP tasks—I bring a comprehensive skill set to the table.Currently contributing my skills and knowledge as a Machine Learning Engineer in Pune, I am dedicated to continuous learning and growth. My proactive approach and demonstrated willingness to take on added responsibilities underscore my commitment to meeting and exceeding team goals.Let\'s connect to explore collaborative opportunities and discussions on the exciting intersection of data, technology, and innovation.
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