About

Aditya Jain is a self-directed and driven data science professional with a Master's degree in Computer Science from Rutgers University. He has comprehensive accomplishments in applying statistical analysis, data analytics, and machine learning to derive growth and smarter business decisions that delivered even better products. Aditya has designed, developed, and applied programs, methodologies, and systems based on advanced analytic models to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Aditya has 2.93 years of relevant experience and has worked with companies like Skellam AI and SetuServ as a Data Scientist. He has expertise in Machine Learning, Predictive Modeling, Big Data, Data Analytics, Natural Language Processing, Artificial Intelligence, Data Visualization, Statistics, and Statistical Modeling. Aditya is proficient in various tools like Pandas, Spark, NumPy, Scikit-Learn, NLTK, Tensorflow, Keras, PyTorch, Spacy, Matplotlib, Gensim, Flask/Django, MLLib, Tableau, HuggingFace, Git, MongoDB, MySQL, Hadoop, SQL, and Microsoft Excel. Aditya's accomplishments include leading efforts to build a Netflix styled personalization suite at Skellam AI by constructing an ETL pipeline called Product2Vec to recommend new products to users, leveraging over 3 billion transactions. He also designed and built 90% of the machine learning code stack for text classification at SetuServ using OOPS paradigm. Aditya has managed and implemented a RESTful API of machine learning models predicting over 1000 reviews per minute and productized intelligence and machine learning models in large-scale systems. Aditya's past work experience includes analyzing data collected from Reddit to detect changes in user behavior before and after content moderation techniques are applied. He has also deployed product recommendation engines to production, employed Word2Vec algorithm to build generalized contextual vectors for over 600 products, and designed and developed ETL pipelines to recommend products to similar users. Apart from his technical skills, Aditya enjoys traveling, eating his way around, and playing snooker. He is currently seeking data science or software developer roles and can be reached at ajain3982@gmail.com.