Scrum Product Owner Certified (SPOC)

FOUNDATIONAL CERTIFICATION IN  AGILE SCRUM (FCAS)TM

Foundation Certification in Kanban (FCKB™) Exam

high school

Masters

Bachelor's degree

As a freelancer, I was responsible for B2B Product building for APP integration Technology using technology and algorithms as Regression Models, k-maps, supervised learning, emotional mapping, non-linear prediction, MongoDB, Google Analytics, Big Query, Agile with Scrum.

Business Analyst Freelancer

Masters Student

Signal Processing, Speech processing, Microphone testing and algorithm development for segmentation, GUI and simulator building.

I acquired here manager skills for managing teams, more precisely middle level management.

Senior Signals Engineer

Responsibilities
• Being the only ML engineer in team, delivering of speci c ML based project in software development oriented sprint cycles.
• Management of Cross functional projects with stakeholders from logistics, marketing and merchandise teams.

Projects
• Recommendation Engine using hybrid models.
• Customer Lifetime Value Estimation using
• Trend Analysis using deep learning CNN's.
• Realtime Gender Prediction using bayesian probabilistic
models.
• Google Bidding Project using statistical models.
Languages Used : Python, R.

Database Used : Postgresql (Google BigQuery as Data
Warehouse).

ML Framework : XGBoost, Scikit-learn, Tensorflow, Caret.

Machine Learning Engineer

Responsibilities
• Execution of Automatic Deployment of Large Scale MRP ML models for brand tracking using Meta ow.
• Monitoring and E cient Debugging integration within production code.
• Establishing and scaling Scrum Kanban Agile Practices within the Data Science team.

Database Used
• AWS DynamoDB, AWS Redshift, Athena 

Tech Used
• AWS Batch, Step-Functions, Lambda, Trino, Github, Docker,
Stan models, LLM, Metaflow, Promestheus, Grafana, Kubernetes via AWS ECS, Terraform

Sr. Machine Learning Engineer

Responsibilities
• Researching, experimenting, building and maintenance of Machine Learning (ML) production ready ecosystem with scalable, sustainable and deployable infrastructure.
• Mentorship and management of Junior ML Developers.

Projects
• Invoice Classi cation and Extraction, Transaction Fee parsing Algorithms, Fraud Detection, Customer Metrics Tracking, Natural Language Text Processing using Deep Neural Nets, Networkx Graphs, Doc2Vec, Node2Vec.
• Lock-in deployment on Amazon Web Services like Beanstalk/Lambda/Sagemaker Infrastructure.
• On premise solution for key customers, deployment using Kubernetes, Helm Charts, Spinnaker and Terraform.

Languages Used : Python, Typescript, C++.

Database Used : AWS DynamoDB, MongoDB, Redis.

ML Technique/Framework : Keras, Scikit-learn, Pytorch, Prophet, LLM

My responsibility is to :
•	Evaluating competitors, and analysing business practices. Develop a new business model and prepare recommendations.
•	Autonomous testing division and code revision systems such as GIT
•	Implementation of Agile software processes and open source bug tracking system, agile coach and managing and handling the development team.
•	Opening a branch in Germany and overtaking the new software open source projects related to GIS being a international player in Europe and worldwide.

Business Development Consultant

Leading ML computer vision projects for Clients : Volvo, BMW and Mercedes.
Building Vision based ML application for detecting damage and extracting information from a vehicle.
EDGE Deployment.

Lead Machine Learning Engineer

As a software consultant, my main focus was Software Development for autonomous tracking of satellite signals and autonomous functioning of spectrum analyzer.

Technology:   LTE, LTE-A, RF, Satellite Communication, MPLS, L2TP, Agile with Scrum 
Language Used:   Visual Basic, C++, Python, SQL
 Database Used:   Map Reduce

Software Consultant Freelancer

ReactJS

NodeJS

Python

Redux

TailwindCSS

Machine Learning

Data Engineering

Co-Founder

ML wizard that aim to build systems that predict and scale well.

Know about Deepak Mishra's work experience, education, and much more. Deepak Mishra