ADITHYAN J

Spearheaded the Data Integrity team, ensuring the consistent delivery of high-quality data to demanding clients. Employed advanced data analysis techniques, including EDA, Hypothesis Testing, Data Sampling and Cleaning, Feature Engineering, and Data Imputation, to maintain data integrity. Conducted in-depth analyses of consumer buying trends, translating raw data into actionable insights. Pioneered an innovative OCR system using OpenCV, CAFFE, and NLP. Created an AI-enabled system using Random Forest, SQL, and StreamLit, resulting in a 50% reduction in operational costs. Designed a robust data mapping framework using advanced algorithms like Haversines formula and Fuzzy String Matching in Python.

Led the "Pumpkin Tales" project, delivering sentiment analysis, Named Entity Recognition (NER), and business classification from social media comments using BERT, XLNet, and GCP. Improved accuracy in the "Sterling Resorts" project by segmenting customers using SQL, IV & WOE analysis, Feature Selection, Imputation of Null values, SMOTE, and XGBOOST. Developed predictive models in the "I-steel" project, accurately predicting steel price fluctuations using Multivariate Time Series models and non-linear classification models.

Handled client inquiries, resolved complaints, and provided information to clients in the UK. Contributed to advertising, marketing, sales writing, and business development activities.

Collaborated with Fortune 500 client, Global Cancer Concern India, focusing on customer acquisition, branding, and customer retention using Direct Marketing Methods.

Dual Certificate course.

Modules included Control Systems and Automation, Thermodynamics, Theory of Machines, Instrumentation Engineering, Computer Vision, Python.