Data Science · Machine Learning · Analytics

From raw data to decisions

I build end-to-end data products—from ingestion and modeling to deployment and dashboards—focused on reliability, scalability, and measurable outcomes that drive smarter decisions.

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End-to-End Data Impact

I design reliable, measurable data solutions—from ingestion and feature engineering to ML deployment and decision dashboards. I turn ambiguous business questions into outcomes using Python, SQL, Databricks, Snowflake, and modern cloud/MLOps stacks.

Full Lifecycle

  • ETL/ELT with Airflow & dbt → Spark/Databricks feature pipelines
  • Modeling & tracking with MLflow → dashboards in Power BI/Tableau

ML Breadth

  • Classification, regression, time-series, A/B experimentation
  • Explainability (SHAP) and NLP/LLMs where they add value

Impact Mindset

  • Ship observable, cost-aware workflows; reduce latency
  • Communicate clearly with stakeholders; own results
Python SQL Databricks Snowflake Docker MLflow Git

Capabilities Across the Data Lifecycle

Programming & Core Languages

Python R SQL Java C++ SAS MATLAB

Data wrangling, automation, and statistical programming

Data Analysis & Visualization

Pandas NumPy Power BI Tableau Matplotlib Seaborn Looker Studio

KPI dashboards, business storytelling, and data-driven insights

Machine Learning, AI & Statistics

Scikit-learn TensorFlow PyTorch Keras XGBoost NLP LLMs LangChain Hugging Face

Predictive modeling, A/B testing, and generative AI solutions

Data Engineering & Automation Workflows

Airflow dbt Apache Spark Databricks ETL pipelines MLflow Docker Kubernetes CI/CD

Scalable data pipelines, model deployment, and orchestration

Databases & Cloud Platforms

Snowflake MySQL PostgreSQL AWS Azure GCP BigQuery Redshift

Data integration, warehousing, and cloud-native analytics

Tools & Collaboration

Git/GitHub JIRA Confluence Excel (VBA) Streamlit FastAPI

Version control, agile teamwork, and rapid prototyping

Featured Projects

Consumer Affairs Lead Conversion Case Study

Built a predictive modeling pipeline (Logistic Regression, XGBoost), achieving ROC-AUC ≈ 0.68 and 2.3–2.4× lift in top-decile leads; shipped Power BI dashboards for stakeholders.

Python · Scikit-learn · XGBoost · Power BI

AI Assignments – Intelligent Agent Systems

Designed AI agents for search & optimization (maze, n-Queens, Connect-4) using BFS/DFS/A*, Hill-Climbing, Simulated Annealing, and Minimax+Alpha-Beta. Benchmarked heuristics and decision efficiency under adversarial settings.

Python · NumPy · Matplotlib · AI Search

ML Assignments – Predictive Modeling & Neural Nets

Compared supervised learners (LogReg, PCA+MLP, CNN, Wide & Deep). Tuned optimizers (RMSProp, AdaDelta) and evaluated across structured, image, and text datasets.

Python · scikit-learn · TensorFlow · Keras

Revenue Growth Campaign Optimization

Designed A/B tests (Google vs Facebook), analyzed KPIs, and improved marketing ROI by 22% with budget allocation recommendations.

Python · A/B Testing · KPI Analysis

Stock Price Time-Series Forecasting

Forecasted Shopify & Alibaba using ARIMA & exponential smoothing to support investor risk profiling.

Python · ARIMA · Forecasting

Super Bowl Ad Analysis

Performed data wrangling, EDA, and visualization on Super Bowl commercials to uncover trends in ad spending, brand presence, celebrity appearances, and viewer engagement using Python and visualization libraries.

Python · pandas · numpy · Seaborn · Matplotlib · Plotly · Jupyter

Python Fundamentals & Job-Market Analytics (Capstone)

This repository captures my Python learning path and a final project analyzing job-market data. It includes hands-on notebooks for core Python (data types, control flow, functions), plus pandas/NumPy data wrangling and Matplotlib/Seaborn visualization. The capstone cleans raw postings, engineers skills/keyword features, explores demand by role/tech and salary ranges, and presents insights through clear, reproducible notebooks.

Python · Pandas · NumPy · Matplotlib · Seaborn · Jupyter · EDA

NYC Taxi Demand Forecasting

Predicted hourly demand (92%+ accuracy) with weather & trip features; trained LightGBM, XGBoost, and CatBoost.

Python · LightGBM · XGBoost · CatBoost

Vendor Sales & Inventory Optimization

Reduced holding cost by 72% and optimized $2.7M unsold stock via Power BI + Python analytics workflows.

Power BI · Python · Inventory Analytics

AI-Powered News Research Assistant

Cut research time by 40% with a LangChain/FAISS assistant for semantic search across financial news & docs.

Python · LangChain · FAISS · OpenAI

Experience

Data Scientist — PioneerSoft Corporation Full-time

Aug 2025 – Present · United States
  • Built and evaluated machine learning models for business use-cases; deployed production-ready data pipelines and dashboards.
  • Partnered with product and business teams to define KPIs, run experiments, and translate insights into measurable outcomes.
  • Designed and automated ETL workflows using Python, SQL, and Airflow for efficient model training and data delivery.
  • Implemented MLOps pipelines for versioning, reproducibility, and continuous improvement using MLflow and Docker.
  • Collaborated cross-functionally to improve data reliability and reduce model deployment latency through CI/CD automation.
PythonSQLAirflow MLOpsMLflowDocker CI/CDData Pipelines

Cox Copy Center — Support Part-time

SMU Cox School of Business · Sep 2024 – May 2025 · Dallas, TX · On-site
  • Maintained secure access to confidential materials (exam papers, keys, staff resources).
  • Handled high-volume print/copy requests under tight deadlines for professors and staff.
  • Point-of-contact for real-time staff support in a fast-paced academic environment.
  • Assisted with building security procedures and safe closing operations after hours.
  • Supported exam proctoring while upholding academic integrity.
CommunicationCustomer ServiceTeam CoordinationTime Management

Student Ambassador — RLSH SMU Part-time

Southern Methodist University · Sep 2023 – Aug 2024 · Dallas, TX · On-site
  • Front-desk representative supporting student engagement and housing operations.
  • Maintained accurate housing records and ensured policy clarity through consistent documentation.
  • Resolved routine and urgent concerns with confidentiality and professionalism.
  • Led one-on-one and group engagement to improve residential experience.
  • Served as interim Program Coordinator for a Dorm Leadership Team.
LeadershipEvent PlanningProblem SolvingSlack

Data Analyst — Yogin

Jan 2021 – May 2023 · 2 yrs 5 mos · India · Hybrid
  • Partnered with cross-functional teams across finance, healthcare, media, and retail to deliver data-driven insights and solutions.
  • Developed and maintained ETL/ELT pipelines using dbt and Airflow on Snowflake; implemented validation and QA checks.
  • Built interactive Power BI and Tableau dashboards for KPI tracking, campaign analysis, and executive reporting.
  • Engineered and tuned ML models (classification, regression, clustering, forecasting) for churn, demand, and fraud prediction.
  • Processed and transformed large datasets using Databricks and PySpark; utilized AWS (S3, Glue) and GCP (BigQuery) for scalability.
  • Deployed models and workflows with MLflow and Docker, ensuring retraining automation and version control.
  • Collaborated within Agile teams using JIRA for sprint planning, reporting, and workflow documentation.
PythonSQLdbt AirflowSnowflakeDatabricks PySparkPower BITableau MLflowDockerAWS GCPJIRA

Education & Achievements

B.Tech (Computer Engineering)

2019 – 2023

CVR College of Engineering — Hyderabad

Masters (Computer Science — AI/ML)

2023 – 2025

Southern Methodist University — Dallas

Leadership Roles

  • Coordinator Head for the college annual fest; drove cross-team collaboration and seamless execution.
  • Program Coordinator for the SMU residential leadership team; led peer engagement and strengthened community culture.
  • Coordinator for Street Cause at CVR College of Engineering; managed volunteers and executed social impact campaigns.
  • Board Member, SMU International Student Board; represented student interests and fostered global inclusivity.

Recognition

  • Nominee, Unsung Hero Award — SMU RLSH Year-End Student Banquet.

Certifications

British Airways — Data Science (Forage, May 2025) Deloitte AU — Data Analytics (Forage, May 2025) Quantium — Data Analytics (Forage, May 2025) Tata — Data Visualisation (Forage, May 2025) Data Analyst Certification — OneRoadmap (Apr 2025) Google Project Management — Coursera

Hackathons & Events

Hackathon — SMU Career Development Programme (Oracle) — CVR

Let's Connect

I'm actively seeking opportunities in Data Science and AI. Let's discuss how I can contribute to your team!

Email
avikshith.y@gmail.com
Phone
+1 (945) 998-3967
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