Ashish Kamboj

I'm

About

11+ years experienced Machine Learning professional having expertise in building, deploying and implementing AI integrated solutions for business use cases across multiple domains. Adept on building end-to-end ML pipeline both On-premise and cloud.

Data Scientist & Machine Learning Engineer (MLOps).

Helped out B2B clients whether providing the relevant customer for a brand campaign, be it providing solution which help in easing out the detection and diagnosis of chronic diseases, be it increasing the drug sales by determining the optimal price of a drug or portfolio optimization based on the past track records and history.

  • Work Mode: Remote
  • City: Noida, Uttar Pradesh
  • Freelance: Available

I'm passionate about coding, automate workflows and keen to learn new technologies. Having product mindset to understand business needs, and come up with scalable engineering solutions. Looking out for a challenging role whether a permanent or freelance in machine learning domain. Eager to work on Deep Learning and NLP side.

Skills

Learned and acquired skills related to big data processing and analysis, different programming languages for performing statistical analysis, building and deploying machine learning models. Storing artifacts and metadata in storing layer like databases, hdfs, cloud services etc.

AWS Services: ECS, Sagemaker, Lambda, CodePipeline, DynamoDB, Bedrock, CDK
Azure Services: Function, OpenAI, Document Intelligence, AI search, CosmosSB
Programming Languages: Python, Pyspark, Scala, R, Java, C
Python Packages: Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn, Nltk
Big Data tools: Hadoop, MapReduce, Sqoop, Hive, Spark, Snowflake
Development tools: Git, Jenkins, Docker, Kubernetes
Regression, Clustering, Time-Series, Recommender Engine, Random Forest, XGBoost, LightGBM
Machine Learning & Hypothesis Testing, Statistics & Exploratory Data Analysis
Databases: SQL Server 2012, Oracle 11g, MySQL
Visualization Platform: Apache Superset, Grafana
Machine Learning Lifecycle: MLflow, Kubeflow
Workflow Orchestration: Apache Airflow

Work Experience

Majorly worked in Pharma, Banking, Finance and Retail domain with handled different roles like Data Engineer, Data analyst, Data scientist and ML Engineer. Handled large dataset for processing and getting out the insights. Build end-to-end scalable ML pipeline

Professional Experience

Lead Machine Learning Engineer

Jan 2024 - Present

Tiger Analytics India Consulting Pvt. Ltd., Chennai

  • Spearheaded the architecture and deployment of an LLM-based Streamlit application, in both AWS and Azure platforms
  • Conceptualized and developed a backend solution architecture in Azure for Document Search and Summarization (RAG)
  • Engineered a websocket API for an LLM chat application, leveraging AWS services to extract insights (both text and plot) from Snowflake tables in response to user queries, and seamlessly integrated this with a React application

Senior Machine Learning Engineer

Nov 2021 - Dec 2023

Tiger Analytics India Consulting Pvt. Ltd., Chennai

  • Built a MLOps framework for predicting the optimal product price and maximizing the profit for a luxury retail client
  • Engineered a scalable AutoML pipeline for AI price generation which leads to faster implementation across geographies
  • Implemented ML model experiment tracking using MLflow for auditing, tracking and model comparison
  • Developed model monitoring framework for capturing the model degradation and data drift to auto train the model
  • Implemented a CI/CD pipeline for ML models using AWS Code pipeline, resulting in faster and more frequent releases, and easier rollbacks and troubleshooting
  • Developed and implemented the generalized Drift Framework, a robust solution for generating comprehensive reports on data drift, model drift, and target drift. Successfully deployed the framework as API endpoints, enabling seamless integration and real-time monitoring of drift metrics

AVP-Data Science

Apr 2019 - Nov 2021

Goals101 Data Solutions Pvt. Ltd., New Delhi

  • Implemented classification model for identifying the potential customer to transact in a particular brand within a defined time period
  • Designed prediction store for managing models i.e. checking whether & when to trigger the training and scoring for brand models based on the data availability, training and scoring expiry period, and the saved model artifacts
  • Created feature lake - a central repository for managing features (customer behavior, demography, purchasing intent and click through actions) from different sources which helps in sharing and re-use of features at different stages of ML system
  • Developed data pipeline for standardizing and processing the transactional and customer data for banks. Also performed feature enginnering along with it
  • Built a generic automated data quality framework for tracking and performing data sanity checks, and gives a complete overview of data
  • Developed anomaly detection framework for capturing the missing and outlier in transaction data on daily basis

 

Consultant

Jun 2017 - Apr 2019

Deloitte Consulting India Pvt. Ltd., Gurugram

  • Analyzed 120k patient’s data to build predictive model for detection, diagnosis, treatment, and management of diseases
  • Predicted the likelihood that patients will develop chronic disease and present patient-specific prevention interventions
  • Achieved improvement in the ability to admit patients with complex medical conditions, to enable saving of $1.2M YoY
  • Performed dimensionality reduction by calculating the relative importance of the variable and handled imbalanced data

Analyst

Nov 2016 - May 2017

Invesco Ltd., Hyderabad

  • Designed a predictive algorithm to improve investment decisions and profit by analyzing the behavior of past investment
  • Predicted the future performance and risk of securities based on the historical trading performance
  • Enhanced the operational efficiency by identifying the key risks factors and forecasting investment viability

Senior Developer

Oct 2015 - Oct 2016

HCL Technologies Ltd., Hyderabad

  • Predicted the optimal price of drugs based on the drug performance, effectiveness and competition to make it affordable
  • Analyzed source data to assess data quality & determined the strategies for handling the identified 7 data anomalies
  • Boosted the drugs net sales by 17% through reference pricing and increased the market share and revenue by 22%
  • Increased accessibility and usability of data by redesigning data visualization techniques to include statistical graphs

Data Specialist

Mar 2013 - Oct 2015

IBM India Pvt. Ltd., Hyderabad

  • Improved marketing, sales and service effectiveness by creating a customer master solution for five countries
  • Developed PL/SQL packages, stored procedures, and views and implemented best practices for optimal performance
  • Reduced costs by 20%, complexity, and redundancies of data collection and aggregation by centralizing storage
  • Conceptualized data validation rules and developed custom Java code to incorporate the business requirements

Projects

Worked on other projects in ecommerce and retail segment, tried out different algorithms in order to generate out the insights and solve the problem by enhancing the data.

  • All
  • Regression
  • Classification
  • Recommender

Education

Completed graduation acquring the computers science concepts and programming. Also, completed the data science course to acquire and learn advanced skills in analytics/Machine Learning domain.

PG Diploma in Data Science

International Institute of Information Technology, Bangalore

Jul 2017 - Jul 2018

B.Tech. in Computer Science

Gautam Buddh Technical University, Lucknow

Aug 2008 - Jul 2012

Contact

Reach out to me for any relevant opportunity or required any help in Machine Learning(MLOps) journey.

Location:

Sector-78, Noida, Gautam Buddh Nagar, U.P-201301

Call:

+91-9052362551

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