Mukesh Mishra — Product Manager
I lead and manage complex projects that drive digital and IT transformation in the telecom & fintech industry. With over 20 years of experience, I have successfully delivered solutions for both mass market & B2B customers. I am passionate about applying my technical skills and business acumen to enhance customer journeys and streamline operations. I have a strong background in software development, data science, and machine learning, and I am proficient in various programming languages, tools, and frameworks. I am also a certified SAFe Agilist and Scaled Scrum Master. Currently, I am expanding my expertise in machine learning by pursuing a Master of Science in Computer Science with specialization in AI & ML from Woolf University. 1) Programming Languages: Python, C, C++, Core Java, SQL 2) Data Visualization: Tableau, Matplotlib, Seaborn. 3) Supervised Learning Algorithms: Linear/Polynomial/Ridge/Lasso/Elastic Net Regression, Logistic Regression, Support Vector Machines (SVM), Naive Bayes, K-Nearest Neighbors (KNN), Decision Trees, Random Forest, Ensemble techniques such as Bagging (Booststrap Aggregation) & Boosting, Gradient Boosting Decision Trees (GBDT), AdaBoost(Adaptive Boosting), Hybrid techniques such as Stacking. 4) Unsupervised Learning Algorithms: K-Means/K-Means++, Gaussian Mixture Models(GMM), Anamoly detection techniques such as DBSCAN, Elliptic Envelope (EE), RANSAC, Isolation Forest, Local Outlier Factor, Dimensionality reduction techniques such as PCA, t-SNE, UMAP. 5) Statistical Analysis: Regression Analysis, Hypothesis Testing, Product Analytics, A/B Testing, Time Series Analysis 6) Recommender Systems: Collaborative Filtering (User-user & item-item similarity), Content based filtering, Hybrid method, Matrix factorization. 7) Neural Networks (NN) - ANN, CV, CNN, Transfer Learning, NLP, RNN, LSTM, GRU. 8) Data Processing: Pandas, NumPy, Seaborn, Matplotlib, SciPy, Scikit-learn, OLS, Apache Spark. 9) Databases: Oracle, MySQL, MongoDB, GCP BigQuery 10) Version Control: Git, SVN 11) Tools: Jupyter notebook, GCP colab notebook 12) MLOps: Streamlit, GitHub, GitHub Actions, Docker, K8S, Python Flask, ECR, ECS, AWS Fargate, MLFlow, AWS Sagemaker. 13) Team Management & Leadership: SDLC, Agile Project Management, Program Management.
Stackforce AI infers this person is a Fintech and Telecom expert with strong capabilities in AI, ML, and software development.
Location: Pune, Maharashtra, India
Experience: 21 yrs 5 mos
Skills
- C++
- Devops
- Agile Project Management
- Program Delivery Management
- Core Java
- Software Development
- Software Design
- Software Development Life Cycle (sdlc)
- Voicexml
- Sql
Career Highlights
- Over 20 years of experience in digital transformation.
- Expertise in AI, ML, and data science.
- Proven track record in managing complex projects.
Work Experience
Euronet
Technical Lead (Working as Squad Lead) (1 yr 10 mos)
Tech Mahindra
Tech Manager (Worked as IT Project Manager at Sunrise-Upc GmbH) (7 yrs 3 mos)
Tech Manager (Worked as Java Tech Manager for Telefonica Deutschland) (1 yr 1 mo)
Manager - Sales & BD Ops (Worked as Bid Manager) (1 yr 2 mos)
Samsung R&D Institute India
Chief Engineer (1 yr 3 mos)
Cognizant Technology Solutions
Manager-Projects (Worked as C++ Tech Lead at Credit-Suisse) (1 yr 1 mo)
Tech Mahindra
Senior Technical Associate (Worked as Senior C++ engineer for T-Mobile Deutschland) (1 yr 11 mos)
Senior Technical Associate - Worked as Senior L3 support engineer (C++) at T-Mobile (1 yr 6 mos)
Logica
IT Consultant (9 mos)
Infosys
Programmer Analyst (3 yrs 7 mos)
Education
Master of Science in Computer Science at Woolf
Bachelor's degree at Visvesvaraya Technological University
All India Senior School Certificate Examination at Chinmaya Vidyalaya, Bokaro Steel City
AISSE at Kendriya Vidyalaya