Ankita Survase

As a highly sociable and diligent professional, I thrive in collaborative environments, applying a pragmatic yet empathetic approach to problem-solving. I am deeply committed to accountability and reliability, consistently delivering high-quality contributions while fostering positive team dynamics.

Open to

Mumbai · Pune · Bangalore

Work style

Hybrid, Remote

Contact details — on requestProof of Work — on request

Experience

Software Intern

Jawaharlal Nehru Port Authority (JNPA) · May 2026 – Present

Not yet confirmed

Digitalising inter-hospital billing workflow between JNPA Hospital and partner hospitals, replacing paper-based accommodation records with a structured database-driven application
Built dynamic Staff ID lookup connecting to the main database entering a staff ID auto-populates employee records; implemented dependent auto-fill via live DB query on patient relationship selection

Data Analytics & ML Intern

Techiolaza Innovations · Nov 2025 – Present

Not yet confirmed

Delivered 3 Power BI dashboards cutting manual reporting time by 60%; built modular Python ML pipelines for scalable, repeatable workflows
Built hate speech classifier (LR + SVM, 89% precision on 10K samples via TF-IDF) and spam/fraud detection model; developed multilingual translation pipeline using pre-trained transformer models across multiple language pairs
Built demand forecasting system (PyTrends + Prophet) across 5+ product categories 18% accuracy improvement; built automated resume screening using TF-IDF + cosine similarity with weighted skill matching and experience scoring
Explored LLM improvement techniques: RAG pipeline with FAISS (200 Wikipedia passages), LoRA fine-tuning on flan-t5-small (parameter-efficient LoRA fine-tuning on FLAN-T5-small, improved ROUGE scores), 5 prompt strategies grounded prompting hit ~83% vs ~50% zero-shot; implemented and debugged a FedAvg-based federated learning simulation across 3 distributed clients
Built AI Smart Vision Assistant using YOLOv8 + OpenCV real-time object detection, video/webcam input, object tracking across frames, and voice alert integration

AI Forecasting Research Contributor

KJ Somaiya School of Engineering · Jul 2025 – Present

Not yet confirmed

Designed and automated end-to-end Python data pipeline on 50,530 SCADA records: ingestion, cleaning, physics-informed feature engineering (Wind Power Density, Turbulence Intensity, Lagged Efficiency Proxy), and model evaluation; reduced manual effort by 30%
Physics-XGBoost achieved R2~0.987 with 37% lower RMSE than Random Forest baseline; strict chronological 80:20 split eliminates look-ahead bias; paper presented at ICTEAH 2026 (Paper ID 172); won Innovation Award at CiiA-5, Nehru Science Centre

Investment Analyst Intern

ZeTheta · Oct 2024 – Nov 2024

Not yet confirmed

Evaluated 10+ financial instruments; applied data-driven risk-return frameworks for portfolio recommendations; analysis cited in 4 weekly analyst briefings using a stock market simulator

Skills 0 proven through work

Also works with

Brief Clarification and RescopingExplaining Technical ConceptsPrompt EngineeringComparative Performance AnalysisExploratory Data Analysis (EDA)Physics-Informed Predictive ModelingModel Selection Trade-Off AnalysisForecastingLightGBM ModelingRandom Forest ModelingDeep LearningXGBoost ModelingMachine Learning ApplicationPublic SpeakingResearch WritingPython DevelopmentETL Pipeline DevelopmentStreaming Data ProcessingMicrosoft ExcelDatabase ManagementData ExtractionFront-end DevelopmentBackend DevelopmentTask AutomationWorkflow Digitization

Proof of Work

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Education

B.Tech, Computer Engineering (Honours in Data Science)

KJ Somaiya College of Engineering, Mumbai · 2023 — 2027

Links

linkedin.com/in/ankita-survase-aa39b3204

Projects

FinCA - AI Investment Advisor

ankitas134.github.io/FinCA

AI in Ayurveda- Prakriti Classifier

Not Available

Contact details

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