Chandan Mishra — Data Scientist

Passionate about using data science to drive growth and shape business stories. With 8+ years of experience, I am a blend of analytics and business skills. In my previous roles, I leveraged data science and analytics to drive strategies, resulting in over $5,000,000 in business growth and an average of more than 20% improvement in ROI for my clients and employers. 📈 Analytics Skills: I have skills and experience in Data Extraction, Pipeline building and automation, Machine Learning: Classification, Regression, Clustering, Dimensionality Reduction, Anomaly Detection Statistical Methods: Hypothesis Testing, A/B Testing, Experimental Design, Causal Inference Model Optimization: Regularization (Lasso, Ridge), Cross-validation, Hyperparameter Tuning Deep Learning & Forecasting: Neural Networks, Time Series (ARIMA, SARIMA, Prophet, XGBoost) Evaluation: Feature Engineering, ROC-AUC, Precision/Recall, F1 Score 🛠️MLops: ML Pipelines, Model Deployment, Data Versioning (DVC), Model Retraining & Automation Version Control & CI/CD: Git, GitHub Actions, GitLab CI, Jenkins Orchestration & Workflow: Apache Airflow, Kubeflow Containerization & Orchestration: Docker, Kubernetes (EKS, GKE, AKS), Helm Experiment Tracking & Model Registry: MLflow, Weights & Biases, SageMaker Data Transformation & Feature Stores: dbt, Feast, Spark, BigQuery Monitoring & Observability: Grafana, Prometheus, Evidently AI Model Deployment: FastAPI, Sagemaker 🗄️Databases: SQL (Oracle, Redshift, BigQuery, MySQL, PostgreSQL), NoSQL 📊Visualization & Reporting Tools: Tableau, Power BI, Excel, PowerPoint ☁️Cloud & Data Platforms: AWS, GCP, Azure (including S3, Google Cloud Storage, Azure Blob), cloud-based SQL engines, data pipelines, and distributed computing frameworks (PySpark, Spark) 👥 Team Leading and Mentoring experience for 3+ years 📚 Academic Strengths: A constant learning mindset. Double Masters with one being an MBA [Marketing and Analytics] and the other an MS in Analytics --------------------------------------------------------------------------------------------------------------- 🤝 Let’s Connect: I appreciate you taking the time to view my profile, and I look forward to meeting you in the near future. Feel free to reach out to me at: chandanmishra@utexas.edu GitHub Profile: https://github.com/chandanmut

Stackforce AI infers this person is a Data Science and Marketing Analytics expert with a strong focus on MLOps and business growth.

Location: Dallas, Texas, United States

Experience: 8 yrs 9 mos

Skills

Mlops
Data Science
Consulting
Data Analytics
Marketing Analytics
Predictive Analytics

Career Highlights

Over $5 million in business growth through data science.
20% average improvement in ROI for clients.
8+ years of experience in analytics and business.

Work Experience

Infosys

Data Scientist (11 mos)

Marketing Attribution

Data Science Consultant (11 mos)

7-Eleven

Data Scientist- Capstone Project (3 mos)

Tredence Inc.

Data Scientist (1 yr)

Wipro

Senior Data Analyst (4 yrs)

Senior Executive (7 mos)

Tata Steel

Management Intern (1 mo)

Capgemini India Private Limited

Data Analyst (1 yr 4 mos)

Education

Masters at The University of Texas at Austin

Post Graduate Program at Indian Institute of Management Kashipur

Bachelor of Technology (B.Tech.) at Kalinga Institute of Industrial Technology

Chandan Mishra

Data Scientist

Dallas, Texas, United States8 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Over $5 million in business growth through data science.
20% average improvement in ROI for clients.
8+ years of experience in analytics and business.

Stackforce AI infers this person is a Data Science and Marketing Analytics expert with a strong focus on MLOps and business growth.

Contact

Skills

Core Skills

MlopsData ScienceConsultingData AnalyticsMarketing AnalyticsPredictive Analytics

Other Skills

A/B TestingAirflowAnalyst RelationsAnalyticsArtificial Intelligence (AI)Bayesian statistical modelingBrand ManagementC++Churn ManagementCoding ExperienceCommunicationComputer GamesConstraint optimizationContent MarketingCustomer response models

About

Experience

8 yrs 9 mos

Total Experience

1 yr 11 mos

Average Tenure

11 mos

Current Experience

Infosys

Data Scientist

Jul 2025 – Present · 11 mos · Dallas, Texas, United States · Hybrid

Automated ML pipelines using Airflow, DAGs, and dbt, supporting 1M+ daily records and reducing data-to-model cycle time.
Implemented CI/CD with GitHub Actions, where registered models were unit-tested on gold data, evaluated, and promoted, cutting model promotion time by 4%.
Deployed MLflow Tracking Server with Postgres + S3 artifact store, logging end-to-end experiments (features, hyperparameters, metrics, artifacts) to ensure 100% reproducibility.
Automated production deployment by containerizing model artifacts via GitHub Actions and deployed to GCP.

Data ScienceMLOpsMachine LearningData EngineeringData Pipelines

Marketing attribution

Data Science Consultant

Jun 2024 – May 2025 · 11 mos · Austin, Texas, United States

Helped answer 3 Business Questions using Data Science: What is getting growth? Why certain things get more growth? How can it be optimized?
Worked on Machine Learning & Bayesian Models to measure the impact of 50+ marketing channels and events on business. To further improve the utility of the analytics in business, I used optimization models to extract the maximum ROI from investment.
Consulted clients using the insights, making the outcome relevant for their business.

Data ScienceBayesian statistical modelingConstraint optimizationConsultingPython (Programming Language)Data Modelling+4

7-eleven

Data Scientist- Capstone Project

Jan 2024 – Apr 2024 · 3 mos · Austin, Texas, United States

Objective: Find out the impact of store metrics [in-store data from data lake] and competitors [data from syndicated sources such as Circana, NielsonIQ] on important growth outcomes such as Store transaction and sales
Approach: Advanced Analytics using Machine Learning and Deep learning + marketing mix modeling and understanding consumer behavior with data
Outcome: Insights and actionable recommendations [in-store changes such as shelf-life optimization and expansion of value added services + regional and seasonal promotion] to increase store transactions by 50%+ annually
Tools used: SQL, Python, Excel, and Tableau

Python (Programming Language)SQLData VisualizationData AnalyticsArtificial Intelligence (AI)Data Science

Tredence inc.

Data Scientist

Mar 2022 – Mar 2023 · 1 yr · Bengaluru, Karnataka, India · On-site

Improving Marketing effectiveness through Data Science & Analytics:
Delivered analytics projects using statistical methods, models, and consulting clients to solve business problems
Developed and deployed machine learning based customer response models to optimize lead-generation strategies for a CPG client, resulting in a 20%+ improvement in response rates
Assisted in designing of A/B testing frameworks, leveraging statistical analysis and multivariate testing to refine outbound promotion-strategy saving $350,000 cost in up-selling
Deployed models to identify key behavioral patterns in purchase data, enhancing conversion by 25%

Data ModellingA/B TestingMarketing AnalyticsEmail MarketingHubSpot Marketing HubDigital Marketing+1

Wipro

2 roles

Senior Data Analyst

Promoted

Feb 2018 – Feb 2022 · 4 yrs

Marketing Analytics: Improved ROI from Campaigns by 50%+ through customer segmentation analytics [Using k-means clustering]
Data-driven messaging: Optimized messaging using predictive analytics of clickstream, customer behavioral and demographic data [using Predictive Machine Learning Models]. Targeted campaigns led to significant improvement in response rate from Lead Generation campaigns
Data Platform to track 50+ metrics: Created data pipeline for a retailer using PySpark, SQL and Tableau for client's merchant/vendor team to track 50+ business metrics (Automated using Airflow)
GTM and new product launch: Optimized product positioning and pricing using survey data to understand preference of individual customers. Achieved 100% advance-booking for new product launch

Segmentation and ClusteringPredictive AnalyticsMarketing AnalyticsMarketing Campaign ManagementPython (Programming Language)Microsoft Excel+2

Senior Executive

Jun 2017 – Jan 2018 · 7 mos

Performed Data Wrangling to prepare the Behavioral, Demographic, Transactional and Market Research Data for advanced analysis
Mined the data to improve Marketing ROI using simple [Exploration, summary stats etc.] to complex methods [Cluster analysis, Predictive Models]
Used SQL (Redshift) to engineer features and publish KPIs dashboard for real-time tracking by sales team, saving 30% of their time in pulling and searching relevant data
Improved reporting using Visualization dashboards for 500+ strong customer communication and sales team

Data CleaningData PreprocessingData MiningData VisualizationSQLMarketing Analytics+6

Tata steel

Management Intern

Apr 2016 – May 2016 · 1 mo · Jamshedpur, Jharkhand, India

Performed market assessment of a new product launched by Tata Steel
Conducted primary and secondary research
Performed customer segmentation
Created Forecasting model to optimize inventory turnover

IBM SPSSMicrosoft Excel

Capgemini india private limited

Data Analyst

Feb 2014 – Jun 2015 · 1 yr 4 mos · Pune

Data wrangling and processing: Worked on streaming dataset (using Spark) with 1.5M+ daily observations
Churn analysis and prediction: Extract and feature engineer data to help data science team predict churn for credit card segment to help client design targeted win-back campaigns
Designing visualization dashboards: Created interactive dashboards to save 300+ hours per month for client's CRM team

Churn ManagementSQLDashboardsMicrosoft ExcelRStudioData Analytics