Ambuj Nayan Mishra

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About Me

Data Analyst with 1+ years of experience in building data-driven dashboards and predictive machine learning models to solve real-world business problems. I specialize in transforming raw data into actionable insights using tools like Python, SQL, Looker Studio, Excel, and BigQuery. Currently working at Industrybuying.com, where I’ve developed customer segmentation models and built 20+ dashboards that improved team productivity by 20% and boosted ROI by 22%. I'm also experienced in developing ML pipelines and web apps using Flask, Streamlit, and FastAPI, and deploying solutions on Google Cloud Platform (GCP). My passion lies in leveraging data to uncover insights that drive business growth. I'm always eager to take on new challenges in analytics, machine learning, or MLOps.

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Experience

Industrybuying.com | Delhi, India
Data Analyst (Apr 2024 – Present)

Developed a customer segmentation model using clustering algorithms (KMeans, DBSCAN) implemented the Elbow Method to determine number of clusters, enhancing targeted campaigns and increasing ROI by 22%.
Managed performance tracking for 60+ online sales agents by building automated dashboards in Looker Studio using BigQuery,G-Sheets, delivering real-time insights that improved team productivity by 20%.
Collaborated with the finance team to identify credit customers developing dashboards and insights that enhanced the acquisition of 16K new customers and achieved 2x growth in sales.

TechCiti Technologies Pvt Ltd | Bengaluru, India
Machine Learning Intern (Sep 2023 – Dec 2023)

Built an XGBoost model to predict food delivery times, achieving an R² score of 0.82.
Performed data preprocessing, cleaning, feature engineering, resulting 15% improvement in model accuracy.
Created a web app using Streamlit, improving delivery planning and potential to reduce late deliveries by 30%.

iNeuron.ai | Bengaluru, India
Data Science Intern (Apr 2023 – Jul 2023)

Built a machine learning model that will predict the flight ticket price with 80% of accuracy.
Worked on Data Collection, conducted (EDA), engaged in Model Selection, Training and Model Evaluation.
Maximized Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-Learn for robust analysis.

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Skills

Data Analysis & Visualization

Python, SQL, Looker Studio, Excel, Data Cleaning, Data Transformation

Machine Learning

Regression, Classification, Clustering, Feature Engineering

MLOps

MLFlow, DVC, CI/CD, Docker, Kubernetes, Jenkins, GitHub, Minikube, Kubeflow

Database & Cloud

Google Cloud Platform, BigQuery

Frameworks & Libraries

Pandas, NumPy, Scikit-learn, Jupyter Notebook, Flask

Browse My Recent

Projects

Colorectal Cancer Prediction - MLOps

Built an MLOps pipeline using LightGBM for cancer prediction, with real-time inference via Flask, reducing diagnostic latency by 40%. Integrated MLflow and DagsHub for experiment tracking.

MLflow DagsHub Docker Kubeflow Kubernetes

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