Lohith G N

With over 13 years of experience in Data Science, I specialize in Generative AI, contributing expertise across various sectors such as telecom, retail, and healthcare. Proficient in deploying advanced models like LLM, NLP, and transformers, I excel in crafting quality and safety for LLM applications through innovative approaches. My journey in Data Sciences and Machine Learning began in 2012, marked by successful implementations on NLP and Predictive modeling. Leading diverse global teams, I bring expertise in LLMOPS, Generative AI Technology Consulting, and aligning solutions with modern business objectives.

As a Data Scientist with hands-on experience, I've actively contributed to global data analytics projects, addressing challenges in locations such as Shanghai, Shenzhen, Hanoi, Helsinki, Dhaka, Tel Aviv, Tunis, Bangkok, and Ho Chi Minh City. Holding a Master's in Data Science & Engineering from BITS Pilani and completing a Post Graduate Program in Data Science & Machine Learning at the University of Chicago, I remain committed to driving innovation in the ever-evolving field of Generative AI.

AI technologies : Generative AI, NLP, Computer vision, Machine learning, Neural networks, Reinforcement learning, GAN, Transfer learning, Predictive analytics, Explainable AI, Edge AI,Recommendation engines

Gen AI models : GPT 3, BERT, T5, Dall-E, BART,Transfo XL, XL net, ROBERTa,Babbage,CLIP

Gen AI frameworks & DB's: Haystack, Langchain, Huggingface transformers,OpenAI GPT,Pytorch,Keras,Gensim,Textblob,Spacy,GPT-Neo,AllenNLP,FAISS,Milvus,Pinecone,Elasticsearch,Deeplake

Programming: Python, R, C,C++

ML algorithms :Regression techniques - Linear, Multi Linear, Polynomial Regression, Regularisation Techniques - Ridge Regression, Lasso Regression, Classification techniques- Naïve Bayes, Logistic Regression, K- Nearest Neighbour, Support Vector Machine, Decision Trees, Parallel and Sequential Ensemble methods- Random Forrest, Adaboost, Gradient Boosting and Extreme Gradient Boosting Clustering Techniques – K- Mean Clustering, Hierarchical/Agglomerative Clustering. Re-Inforcement Learning – Multi Arm Bandit (Thomson Sampling, Greedy Algorithm with Decay), Markov Decision Problems. Deep Sequential Neural Network – Convolution Neural Networks, Deep Keras Sequential and Deep Keras functional functional neural networks, Recurrent Neural Network Long Short Term Memory (LSTM), Gated Recurrent Unit (GRU) , Time Series Analysis – Univariate and Multi Variate Time Series Analysis. Natural Language Processing (NLP) – Working with regular expressions, Tokenization, Stopwords, Stemming and Lemmatization, Converting Text into Numerical Data, Document Analysis, Text Classifications, Sentiment Analysis, Autoencoders, Open AI Transformer Models,One and few shot learning,PyTorch,Streamlit.

BI Tools & API : Tableau, PowerBI, DOMO, Qlik,IBM cognos analytics,Streamlit, Fast API,Flask Databases: MySQL, HIVE,Casandra,PySPARK, Hadoop,Data lake

Exploratory Data Analysis : Data Extraction, Data Cleaning, Data Wrangling, Feature Engineering, Removing Outliers, Data Explorations, probability distributions. Machine Learning Operations Over Cloud – AWS Sage Maker, Azure Databricks

Mathematics : Probability,Statistical analysis, Linear Algebra,Vector Calculus, Graphical modeling, Hypothesis testing,Bayesian theory,Cost functions, Gradient descent

Cloud – Amazon Web Services- AWS Glue, AWS Lambda, AWS EC2, AWS S3, AWS EBS, AWS ELB, AWS Bastion Hosts, AWS Cloud Watch, AWS Networking, AWS Firewalls and NACL, Security Groups, AWS ECS and AWS EKS (Kubernetes Services), AWS Direct Connect, AWS Cloud Front

https://github.com/lohith0501

Computer vision Nanodegree Program

• Udacity

Machine Learning Master's Program

• Teclov

Extensive Python for AI

. The school of AI

• Industry Project (for The Math Company, PGPDM program)

(Advanced regression analysis of price elasticity at US state-level )

• Integrated Python code in Tableau to seamlessly forecast the t+n data points from tableau itself.

Zomato Restaurant Ratings Prediction

• Finished at 5 th place in DLabs Data Science competition.

International onsite customer support

• Worked in Shanghai,Shenzhen,Hanoi,Helsinki,Dhaka,TelAviv,Tunis,Bangkok,Ho Chi Minh City