Lekha Sri Varikuti

Associate Consultant

Bengaluru, Karnataka, India3 yrs 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

3+ years of experience in Data Science and Engineering.
Specialized in LLMs, NLP, and Generative AI.
Proficient in building and deploying AI solutions.

Stackforce AI infers this person is a Data Science and Engineering professional with expertise in AI and NLP.

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Skills

Core Skills

Machine LearningData AnalysisData VisualizationNatural Language ProcessingDeep Learning

Other Skills

APIAWS RDSAgentic AIAmazon Web Services (AWS)Apache SparkArtificial Intelligence (AI)Azure Cosmos DBAzure DatabricksCascading Style Sheets (CSS)Continuous Integration and Continuous Delivery (CI/CD)Customer Churn PredictionData CleaningData ManipulationDatabasesDataiku DSS

About

With 3+ years of experience in Data Science and Engineering, I hold an M.Tech in AI & ML with a specialization in NLP from BITS. Currently working in Tiger Analytics and previously as a Data Scientist at DISH Network Technologies, a Fortune 200 media and telecommunications company, I have contributed to forecasting, predictive modeling, and ML-driven optimizations. I specialize in LLMs, NLP, and Generative AI, with hands-on experience in building and deploying AI solutions using OpenAI, Hugging Face, LangChain, and Transformers. My expertise includes machine learning, statistical analysis, feature engineering, and model evaluation, leveraging tools like Python, SQL, TensorFlow, and PyTorch.

Experience

3 yrs 10 mos

Total Experience

2 yrs 6 mos

Average Tenure

1 yr 3 mos

Current Experience

Tiger analytics

Senior Analyst

Mar 2025 – Present · 1 yr 3 mos · Bengaluru, Karnataka, India · Hybrid

Dish network technologies

Engineer

Aug 2022 – Mar 2025 · 2 yrs 7 mos · Bengaluru, Karnataka, India · On-site

Conducted extensive data analysis and exploratory data analysis (EDA) on large demographic, viewership and subscriber datasets to identify trends and patterns enhancing marketing strategies.
Predicted customer churn resulting in a significant reduction in customer attrition and improved revenue retention.
Added new business features to already existing enablement forecasting jobs in production environment
Worked with AWS RDS databases to extract and manipulate data, AWS lambda for efficient data processing and extraction
Created interactive data visualizations and dashboards in Azure Databricks to communicate findings effectively.
Developed generic plugins in Dataiku DSS
Proficient in monitoring job performances as part of ML Ops practices, ensuring continuous optimization and efficiency in data pipelines
Skilled in machine learning techniques including classification, regression, clustering, and deep learning, with hands-on experience

Data AnalysisExploratory Data Analysis (EDA)Customer Churn PredictionAWS RDSData VisualizationAzure Databricks+3

Virtusa

Data Science Intern

Jan 2022 – Apr 2022 · 3 mos · Remote

Spearheaded a deep learning initiative to classify disaster tweets as real or false, leveraging diverse datasets encompassing various calamities and emergencies
Applied advanced natural language processing techniques for data cleaning, feature extraction, and model training, utilizing state-of-the-art models such as BERT, ROBERTA, and ALBERT

Deep LearningNatural Language ProcessingData CleaningFeature ExtractionModel Training