Shown Lalichen

Advanced Analyst with more than 6 years of experience in internationally reputed firms. Expert in process automation and looking for a challenging environment where I can use my skills for the betterment of the Firm. Highly analytical with proficiency in Python, R, machine learning libraries, and data wrangling. Committed to continuous learning and applying the latest technologies in data analysis.

I utilize client data for topic modelling, text summarization, and text analytics to derive key insights. I create a robust structure that generates top spoken topics and perform sentiment score analysis on textual data. The topics are linked with a word cloud for a comprehensive view. My process includes data cleaning using stemming and lemmatization techniques, producing feature vectors with TfidfVectorizer, and applying Non-Negative Matrix Factorization (NMF), Bert model to generate topics. I evaluate model performance, tuning hyperparameters such as alpha, the number of topics, and the number of words for accuracy. The final output includes the most prominent topics and a sentiment score analysis visualized through a Power BI dashboard. • I employ OCR techniques to read all data from PDFs and clean the text by filtering special characters and stop words using stemming and lemmatization techniques. I extract specific words and check their accuracy against client-provided data using fuzzy ratios and sentence matching. I then create a custom NER model using Google Colab and verify that its accuracy exceeds that of traditional models • I develop automation processes using Excel macros. By reading Excel files and performing data operations, I create attachments and share the data with clients. Using Excel VBA, I transform this manual procedure into an automated workflow

M.Sc. Statistics (Applied) with computer, India.