Sanika Marathe

Consultant

United States2 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building ML systems and LLMs.
Proven track record in data analysis and insights delivery.
Strong background in NLP and AI-driven solutions.

Stackforce AI infers this person is a Data Science and AI professional with a focus on Fintech and SaaS industries.

Contact

Skills

Core Skills

Natural Language Processing (nlp)Machine LearningData AnalysisSeoArtificial Intelligence (ai)

Other Skills

PythonGoogle Cloud Platform (GCP)Google Search ConsoleGoogle AnalyticsSemrushLooker StudioTableauQdrantRetrieval-Augmented Generation (RAG)Web ScrapingSeleniumBeautiful SoupOutSystemsGenerative AIProcess Mining

About

Passionate about Data and AI. I enjoy building ML systems, working with LLMs, and experimenting with real-world data. With an engineering mindset and curiosity-driven approach, I love turning ideas into working AI solutions.

Experience

2 yrs 9 mos

Total Experience

1 yr 2 mos

Average Tenure

4 mos

Current Experience

Indiana university - kelley school of business

Research Assistant

Jan 2026 – Present · 3 mos

Built NLP and LLM-assisted pipelines to convert expert discussion transcripts into structured, analyzable datasets.
Developed end-to-end transcript processing pipelines (ingest, clean, transform, feature extraction) for modeling.
Automated extraction of themes, summaries, and evaluation signals from text-heavy data with human-in-the-loop checks.
Engineered structured measures and generated text features from unstructured transcripts (topics, sentiment, key signals, embeddings) to support analysis and downstream modeling tasks.
Analyzed expert evaluations of ventures using statistical NLP methods to identify patterns, trends, and decision drivers.
Delivered stakeholder-ready insights via dashboards/visualizations, clear reports, and concise research summaries.
Maintained reproducible workflows with versioned data, modular code, quality checks, and strong documentation to ensure data integrity.

Natural Language Processing (NLP)Machine LearningData AnalysisPythonGoogle Cloud Platform (GCP)

Indiana university bloomington

Data Analyst

Dec 2025 – Present · 4 mos

Owned end-to-end search analytics and SEO reporting across multiple IU sites using Google Search Console, Google Analytics, Semrush, ScreamingFrog, Siteimprove, and BI tools (Looker Studio, Tableau).
Built executive-ready dashboards translating stakeholder questions into KPIs (visibility, rankings, CTR, impressions, engagement, conversions).
Integrated, normalized, and joined multi-source data (GSC, GA, crawls, keyword tools) to deliver clear insights and recommendations for marketing and web teams.
Conducted technical on-page SEO audits (crawl issues, indexation, redirects, metadata, internal linking, content gaps) and prioritized fixes by impact.
Led keyword research and content optimization, using ChatGPT/Gemini to accelerate analysis and generate optimization drafts with human review.

Google Search ConsoleGoogle AnalyticsSemrushLooker StudioTableauSEO+1

Ticker

AI Developer

Aug 2025 – Dec 2025 · 4 mos

Google Cloud Platform (GCP)Natural Language Processing (NLP)PythonQdrantRetrieval-Augmented Generation (RAG)Artificial Intelligence (AI)

Indiana university luddy school of informatics, computing, and engineering

Teaching Assistant

Aug 2025 – Dec 2025 · 4 mos

Algorithm Design and Analysis.

Indiana university - kelley school of business

Research Assistant

May 2025 – Aug 2025 · 3 mos

Working on building a data pipeline and applying machine learning algorithms to analyze cryptocurrency market trends as part of a research initiative with the Finance Department. The project involves collecting and preprocessing both historical and real-time crypto data, and uncovering actionable insights to support data-driven financial strategies.

Machine LearningWeb ScrapingPythonSeleniumBeautiful Soup

Persistent systems

3 roles

Senior Software Engineer

Promoted

Jan 2024 – Aug 2024 · 7 mos

Predictive Sales Model
Built a prediction model using unique feature combinations to generate accurate weekly sales forecasts.
Improved model efficiency by 15% using feature engineering and hyperparameter tuning.
Increased prediction accuracy by 10% using pattern recognition.
Sentiment Analysis of Customer Feedbacks
Developed a 92% accurate model using NLP techniques to classify product reviews as positive, negative or neutral.
Enhanced model focus and understanding by implementing a pre-processing pipeline using NLTK, tokenization and vectorization.
Analysis using Process Mining
Identified bottlenecks in business KPIs by performing predictive, performance and root cause analysis.
Conducted conformance check for anomaly detection.
Created dashboards to visualize workflows, deviations, and business insights.

PythonOutSystemsGenerative AIProcess MiningMachine Learning

Software Engineer

Jun 2022 – Jan 2024 · 1 yr 7 mos

Approval Management System
Architected and actualized a Microsoft Power Platform solution that streamlined approval processes.
Created real-time analytics dashboards for data-driven decision making, which reduced approval time by 25%.
Online Order Placement Portal
Contributed to web application development using OutSystems and APIs, improving operational efficiency by 30%.
Integrated AWS S3 bucket for real-time reporting and implemented ADA-compliant logic to the system improving accessibility for disabled users.

OutSystemsMicrosoft Power PlatformData Analysis

Intern

Jan 2022 – Jun 2022 · 5 mos

Completed trainings and certifications in SQL, OOP and low code tools for data analysis & development.
Attained GenAI certification and prompt engineering training offered by Persistent University.

HTMLJavaScriptCascading Style Sheets (CSS)MySQLObject-Oriented Programming (OOP)

The sparks foundation

Data Science and Business Analytics

Feb 2021 – Mar 2021 · 1 mo · Remote

Performed exploratory data analysis to identify and visualize critical business strengths and weaknesses for making informed decisions.

Machine LearningPython

Cognifront

Machine Learning Intern

May 2020 – Jun 2020 · 1 mo · India · Remote

Applied supervised and unsupervised learning methods, including regression and clustering, to deliver predictions, classifications, and data-driven visual insights for various use cases.

Machine LearningPython