Shivraj Sonawane
Sakri,MH
Summary
Detail-oriented and results-driven machine learning professional with over 3 years of experience in developing and deploying machine learning models in real-world applications. Proficient in leveraging statistical analysis, natural language processing, and deep learning techniques to solve challenging business problems. Skilled in programming languages such as Python, R, and SQL, with a strong understanding of data structures and algorithms. Proven ability to collaborate effectively with cross-functional teams and stakeholders to deliver innovative solutions. Continuously exploring new technologies and staying updated with industry trends to ensure optimal performance and cutting-edge deliverables.
Overview
3
3
years of professional experience
Work History
Machine Learning Engineer
Accenture Pune
Pune
08.2021 - Current
- Cooperate with data architect to create clean modules and simple, intuitive models using Processing libraries
- Develop project concepts and maintain optimal workflow
- Work with senior developer to manage large, complex data projects for corporate clients
- Complete detailed programming and development tasks for back end as well as challenging back-end server code.
Education
B.Sc - Chemistry -
Jalgaon University
01.2021
HSC -
01.2018
SSC -
01.2016
Skills
- Project understanding & Coordination
- Strong decision maker
- Complex problem solver
- Creative Thinker
- Innovative
- Service-focused
- Experience using ML libraries, such as scikit learn, Seaborn, Matplotlib, Pandas, numpy, RegEx etc
- Experience diving into data to discover hidden patterns
- Take ownership of the data science model end-to-end from data collection to model building to monitoring the model in production
- Solid understanding of the mathematics related to data science probability, statistics, linear algebra etc
- Ability to understand business concerns and formulate them as technical problems that can be solved using data and math / stats / ML
Personal Information
Date of Birth: 02/04/00
Languages
English
Hindi
Marathi
Expertisecertifications
Python, SQLite, MongoDB, Pandas, NumPy, Regex, scikit learn, Seaborn, Matplotlib, SciPy, nltk, Linear & Logistic Regression, Naive Bayes, K-NN, K-Means, SVM, PCA, Decision Tree, Random Forest, Lasso, Ridge, Boosting Algos, NLP & Time Series, Flask Web framework, Postman, AWS, Windows, Linux, Conda, VS Code, ML lib & NLP
Advanceskills
Neural Networks, Deep Learning, ANN, CNN, DNN, Transfer Learning, Back Propagation, Linear Algebra, Tensorflow 2.x, Keras, Elastic Compute Cloud, Sagemaker, Notebook instance, AWS container, Simple Storage Services S3, Deployment, Multi cloud environment, Text understanding, representation & classification techniques, Text clustering skills, nltk, spacy, gensim, textblob, langdetect, googletrans, BOW, TFIDF, word2vec, doc2vec, sent2vec, keypharse extraction, 3C(Command, Constrains, Clauses), CRUD operations, Subqueries, Window functions, Joins, Filter, Wrapper, Embedded Method, P-Value, T-Test, Z-Test, ANNOVA test, Chi-Square Test, Info-Gain Test, Hypothesis Testing, probability, statistics, linear algebra, Gradient Descent, Agile, Jira
Awards
Cricket Award in 2020
Hobbies and Interests
- Playing Badminton
- Cricket
Projects
Project 1, A website where individuals can either invest in personal loans or request to borrow money provides full performance and detailed transaction reporting from an easy-to-use merchant dashboard., Evaluating clients’ credit data and financial statements to determine the degree of risk involved in lending money to them., Analyzing client records and using the data to recommend payment plans., Evaluating the financial status of clients by producing financial ratios. Project 2, Involves Text-Pre-processing, Dynamic Language modelling, Natural Language Processing.TF-IDF is used to find the features of intra-class documents. A statistical model is used to find and differentiate the inter-class features. K-Nearest Neighbor, Support Vector Machine, Naïve Bayes classifiers are used to classify the documents., Connect and collaborate with subject matter experts in R&D, GIO-Q, Commercial and Medical., Make impactful contributions to internal discussions on emerging machine learning methodologies., Educate the organization both from IT and the business perspectives on these new approaches, such as testing hypotheses and statistical validation of results.
Timeline
Machine Learning Engineer
Accenture Pune
08.2021 - Current
B.Sc - Chemistry -
Jalgaon University