Amol Annasaheb Sakhale

Product Manager

McKinney, Texas, United States6 yrs 10 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in Machine Learning and Data Science.
Proven track record in developing ML-based products.
Strong analytical skills with a focus on data insights.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in SaaS and Fintech industries.

Contact

Skills

Core Skills

Data ScienceArtificial Intelligence (ai)Machine LearningSoftware DevelopmentArtificial Intelligence

Other Skills

AWSAlgorithmsCC++CommunicationData AnalysisDeep LearningJavaMatlabMicrosoft ExcelMicrosoft OfficeMongoDBNLTKProgrammingPublic Speaking

About

A Software Engineer-Machine Learning at o9 Solutions. Interested in creating value by analyzing datasets, deriving useful insights, and building ML-based products. Completed Master's in Electrical and Computer Engineering with a specialization in Machine Learning and Data Science at the University of California, San Diego. Before joining UCSD, I completed my integrated 5-year dual degree(B.Tech+M.Tech) program in Electrical Engineering with an M.Tech Specialization in Instrumentation and Signal Processing from the Indian Institute of Technology, Kharagpur. I have also worked as a Software Engineer for one year at Societe Generale Global Solution Center, Bangalore, India.

Experience

6 yrs 10 mos

Total Experience

2 yrs 3 mos

Average Tenure

4 yrs 9 mos

Current Experience

O9 solutions, inc.

2 roles

Manager, Product Management

Promoted

Apr 2023 – Present · 3 yrs 2 mos · Dallas, Texas, United States · Remote

Contributed to ML-based Demand Forecasting product, improving the efficiency and capabilities of the core Demand Planning product.
Successfully managed and executed several client-facing POCs, showcasing product capabilities and leading to enhanced client satisfaction.
Played a key role in integrating Machine Learning-based solutions into the platform, enhancing the product's overall performance.
Demonstrated leadership in managing ad-hoc requirements effectively within tight deadlines.

Data ScienceArtificial Intelligence (AI)Communication

Machine Learning Engineer

Jul 2021 – Feb 2023 · 1 yr 7 mos · Dallas, Texas, United States · Remote

Contributed to developing o9Predict.ai, an ML-based time series forecasting AutoML solution in the o9's IBP software platform.
Analyzed and evaluated the working of o9Predict.ai plugin by conducting different data science experiments

Data ScienceArtificial Intelligence (AI)Communication

University of california, san diego - jacobs school of engineering

Graduate Student Researcher

Jun 2020 – Mar 2021 · 9 mos · San Diego, California, United States

Dynamic Modelling of Covid-19
Proposed an age-structured Susceptible Infected Recovered(SIR) mathematical disease model for Covid-19
Proved theoretically as well as empirically that the model fits actual disease spread

Communication

Societe generale global solution centre

Specialist Software engineer

Jul 2018 – Aug 2019 · 1 yr 1 mo · Bangalore

Worked on the development of an enterprise application in Java which preprocesses the financial market data, performs multiple operations according to user's input on different financial instruments and makes it available to many downstream applications
Developed software in python for anomaly detection on the market data for different financial products
Completed professional training on SQL Database, Object-Oriented Software design (Java SE/EE)

Communication

Capillary technologies

Data Science Intern

May 2017 – Jul 2017 · 2 mos · Bangalore

Development of 'Actionable Insights powered Retail Assistant (AIRA)' in Scala with Spark
Developed software in Scala which generates Actionable Insights for different levels of a retail brand
Generated the insights based on time series analysis of the KPIs using statistical techniques and self-defined rules
Sales of the product or store, number of products sold are few of the Key Performance Indicators(KPIs)
Worked on the Amazon Web Services(AWS) platform to increase the scalability of the product

Data Science

Phenom people

Winter Intern

Dec 2016 – Dec 2016 · 0 mo · Hyderabad Area, India

Project Topic: Building a basic prototype of A.I. Chatbot on Facebook messenger platform for a company’s page.
Worked in Python for building an app which was deployed on Heroku server and then web-hooked with the facebook page.
Used NLTK for NLP task of parsing the message and replying according to classical AI of a predefined path of conversation in the fixed domain.
Chatbot was assigned to give information about available jobs in the company according to candidate’s profile.
Also worked on MongoDB with PyMongo for storing and reading the candidate and Job data.

Iit kharagpur

Undergraduate Researcher

May 2016 – May 2017 · 1 yr · Kharagpur, India

Implementing of existing Fall detection Algorithm and Designing new algorithm for elderly fall detection.
Right now I am implementing IEEE paper proposing the existing algorithm: "A Smart Phone-Based Pocket Fall Accident Detection, Positioning, and Rescue System".
I am working on MatLab for Accelerometer and Gyroscope sensor data acquisition and further signal processing.
Implementing different machine learning algorithms in MatLab to optimize the classification of different events like running, walking, falling etc.

Larsen & toubro limited,automation campus navi-mumbai

Summer Intern

Jun 2015 – Jul 2015 · 1 mo · Mumbai Area, India

Summer Internship at Larsen & Toubro, Automation Campus for 6 weeks in June-July 2015. I worked in Power Electronics and Automation Technology Centre. I designed the electronic circuit of ‘ Batch Controller Simulator ’, simulated a designed circuit in MultiSim and had Hands-on experience of making a prototype of hardware simulator.
Batch Controller is one of the Automation product of L&T, Control and Automation for Oil truck loading and I was responsible for designing hardware simulator for it.