Hari Venkata Krishna M

Data Scientist

Minneapolis, Minnesota, United States2 yrs 1 mo experience

Key Highlights

4+ years of experience in AI and Machine Learning.
Developed AI-driven chatbots and fraud detection models.
Expertise in NLP and big data analytics.

Stackforce AI infers this person is a Data Scientist specializing in AI, Machine Learning, and Big Data analytics.

Contact

Skills

Core Skills

Data ScienceMachine LearningNlpSoftware DevelopmentSystem Engineering

Other Skills

ANOVAAWSApache AirflowApache KafkaAzureAzure Data FactoryBERTC (Programming Language)C++Collaborative ResearchCore JavaData VisualizationDatabase Management System (DBMS)DjangoEDA

About

Data Scientist | AI & Machine Learning | NLP | Big Data Passionate Data Scientist with 4+ years of experience in machine learning, AI, and big data analytics. Skilled in Python, SQL, TensorFlow, PyTorch, and cloud platforms. Built AI-driven chatbots, fraud detection models, and recommendation systems that enhanced business efficiency. Expertise in NLP, deep learning, and predictive modeling to solve complex problems. Strong background in big data processing (Apache Spark, Hadoop) and MLOps for scalable solutions. Developed real-time analytics dashboards with Tableau & Power BI for data-driven insights. Always eager to leverage AI to drive innovation and enhance decision-making. Let’s connect to explore the power of data science!

Experience

2 yrs 1 mo

Total Experience

9 mos

Average Tenure

10 mos

Current Experience

Profile dm inc

Data Scientist

Aug 2025 – Present · 10 mos · Michigan, United States · Hybrid

As a Data Scientist at Profile DM Inc, I specialize in transforming complex data into actionable insights that drive business growth and strategic decision-making. I work across the full data lifecycle—from data collection and preprocessing to advanced analytics, predictive modeling, and visualization—leveraging tools like Python, SQL, TensorFlow, Power BI, and AWS.
My focus is on uncovering patterns that help optimize marketing strategies, improve customer engagement, and boost ROI. Collaborating closely with cross-functional teams, I turn data into a competitive advantage by delivering scalable, data-backed solutions that align with organizational goals.
I’m passionate about machine learning, data storytelling, and building models that make an impact, constantly exploring new technologies and methodologies to push the boundaries of what data can do.

PythonSQLTensorFlowPower BIAWSData Science+1

Techvy corp

Data Scientist

Dec 2024 – Nov 2025 · 11 mos · Minneapolis, Minnesota, United States · Hybrid

Developed and deployed an AI-powered chatbot using BERT and Transformer-based NLP models, improving customer support efficiency by 40%.
Integrated chatbot with Azure and AWS cloud platforms, enabling seamless enterprise support.
Built real-time analytics dashboards (Power BI, Tableau) to monitor chatbot performance and engagement.
Automated MLOps pipelines with Apache Airflow and Kubernetes for continuous model improvement.
Designed a fraud detection model using XGBoost and Random Forest, increasing fraud identification accuracy by 30%.
Built real-time fraud detection pipelines using Apache Kafka and Spark Streaming.
Automated ETL workflows with Python, SQL, and Azure Data Factory, reducing processing time.
Deployed models on AWS (Lambda, Snowflake) and Azure Databricks for scalable fraud detection.

BERTTransformer-based NLPAzureAWSPower BITableau+12

Concordia university-st. paul

General Assistantship

Jan 2024 – Jun 2024 · 5 mos · Minneapolis, Minnesota, United States · On-site

Led NLP model optimization for sentiment analysis using Python (TensorFlow, PyTorch) and Transformers, boosting accuracy by 15%. Automated ETL pipelines with SQL and Apache Airflow, cutting preprocessing time by 30%. Built Tableau dashboards to visualize research insights and collaborated on peer-reviewed publications. Mentored students in data science tools and deployed scalable models via AWS and Docker. Presented findings to diverse audiences, translating technical results into actionable strategies.

PythonTensorFlowPyTorchSQLApache AirflowTableau+2

Infosys

System Engineer

Jun 2022 – Jan 2023 · 7 mos · Hyderabad, Telangana, India · On-site

As a System Engineer at Infosys India, I was responsible for designing, developing, and maintaining reliable software systems that supported key business operations and client solutions. I worked on full-stack development, troubleshooting, and performance optimization across multiple technologies including Java, Spring Boot, SQL, and RESTful APIs.
Collaborating with cross-functional teams, I ensured seamless integration, scalability, and security of enterprise applications. I also contributed to automation and process improvement initiatives, enhancing system efficiency and reducing downtime.
My experience at Infosys strengthened my expertise in software development, debugging, and system performance tuning, while instilling a strong foundation in agile methodologies and client-focused delivery.

JavaSpring BootSQLRESTful APIsSoftware DevelopmentSystem Engineering