Sreekar Pisupati

AI Researcher

Bangalore Urban, Karnataka, India9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Improved ML model accuracy by 8% in financial predictions.
Reduced forecasting error by 20% using advanced AI techniques.
Enhanced sentiment analysis with transformer models by 15%.

Stackforce AI infers this person is a Fintech and AI-focused Data Scientist with strong machine learning expertise.

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Skills

Core Skills

Machine LearningData ScienceArtificial Intelligence (ai)

Other Skills

Analytical SkillsApplied Machine LearningBERTBack-End Web DevelopmentBacktestingBig Data AnalyticsBlockchainC++CommunicationComputer ScienceCryptocurrencyCryptographyData PreparationDatabase DevelopmentDatabase Scripting

Experience

Smartterra

Data Science & ML Consultant

Nov 2025 – Present · 4 mos · Bengaluru, Karnataka, India · Hybrid

Fintuple technologies

Intern

Jan 2025 – Jun 2025 · 5 mos

Built ML models (TensorFlow, scikit-learn) for options and gold price prediction, improving accuracy by 8%. Developed real-time data pipelines using WebSocket & REST APIs for equities and commodities. Automated trading signal generation with options Greeks and embedded risk metrics in dashboards. Collaborated with trading teams to optimize latency-critical Python services and database schemas.

TensorFlowscikit-learnWebSocketREST APIsPythonoptions Greeks+2

Swecha technologies

Artificial Intelligence Intern

Feb 2024 – Apr 2024 · 2 mos

Implemented RNN and LSTM models for time-series forecasting, reducing prediction error by 20% over ARIMA. Optimized deep learning models through hyperparameter tuning and robust validation, boosting reliability. Fine-tuned transformer models (BERT, GPT) with domain-specific pretraining, improving sentiment F1 by 15%.

RNNLSTMhyperparameter tuningBERTGPTMachine Learning+1