Neeraj Agrawal

AI Researcher

Bengaluru, Karnataka, India12 yrs 11 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in developing predictive models for various applications.
Strong background in machine learning and data science.
Experience mentoring aspiring data scientists.

Stackforce AI infers this person is a Data Scientist with expertise in machine learning and predictive analytics across various industries.

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Skills

Core Skills

Data ScienceStatistical Data AnalysisMachine LearningArtificial Intelligence (ai)MentoringPredictive Analytics

Other Skills

Multivariate AnalysisPattern RecognitionExploratory Data AnalysisDeep LearningJavaModel DeploymentData AnalysisImage AnalysisRAnalyticsSAS E-MinerBig DataApache SparkSQLStatistics

About

Industrial data scientists solving challenging and competitive industrial problems. Masters in electrical engineering, with a specialization in power electronics. Skilled in data mining, statistical data analysis, predictive modeling, programming. Passionate about building high-quality, practical data-driven solutions. I joined Edison Engineering Development Program (EEDP), rotation-based technical leadership program. EEDP equipped me with strong problem-solving and technical acumen. EEDP helped me evolve as industrial data scientist by giving me an opportunity to work with world-class domain expert together with nourish my software and analytics skills through rotation in different teams across different businesses. GENERAL SKILLS: data science & statistics, predictive analytics; programming; strong communications. COMPUTING SKILLS: Analytics tools: R, Python,Scala,Tableau, SAS Base, SAS Enterprise Miner, JMP, SQL, Matlab, Octave, C, Java Basics; Big Data Tools(Basic Knowledge):Pig, Sqoop, Hive, Hbase, Hadoop, Spark; Power Electronics Tools: DSP, FPGA, Sim Power (MATLAB), PSIM, PLECS; Platforms: Mac, Linux/Unix, MS Windows.

Experience

12 yrs 11 mos

Total Experience

2 yrs 9 mos

Average Tenure

1 yr 7 mos

Current Experience

Google

Gen AI Solution Architect

Sep 2024 – Present · 1 yr 8 mos · Hybrid

Walmart global tech

3 roles

Staff Data Scientist: Converse

Oct 2021 – Sep 2024 · 2 yrs 11 mos

Multivariate AnalysisPattern RecognitionStatistical Data AnalysisArtificial Intelligence (AI)Exploratory Data AnalysisData Science

Senior Data Scientist: Converse

Jul 2020 – Oct 2021 · 1 yr 3 mos

Created a deep learning-based intent prediction model for customer care chatbot. Deployed the model using the java play framework to serve high traffic.

Multivariate AnalysisPattern RecognitionStatistical Data AnalysisArtificial Intelligence (AI)Exploratory Data AnalysisData Science

Senior Data Scientist: : Personalization

Jan 2019 – Jul 2020 · 1 yr 6 mos

Built a machine learning model to generate item pairs that can be bundled together based on user data.
◦ Developed a personalized model to increase CTR (Click Through Rate) in transactional email recommendations.
◦ Developed a personalized recommendation model to recommend better items in promotional emails.

Multivariate AnalysisPattern RecognitionStatistical Data AnalysisArtificial Intelligence (AI)Exploratory Data AnalysisData Science+1

Springboard

Data Science Mentor

Mar 2019 – Jan 2021 · 1 yr 10 mos · Bengaluru, Karnataka, India

Mentored more than 10 mentees as part of springboard’s data science program and guided them in transitioning their career in data science.

Multivariate AnalysisPattern RecognitionStatistical Data AnalysisArtificial Intelligence (AI)Exploratory Data AnalysisData Science+1

Honeywell technology solutions, inc.

Data Scientist

Nov 2016 – Jan 2019 · 2 yrs 2 mos · Bangalore

Developed a deep learning model to identify faults in utility poles using images captured by drones.
◦ Developed an analytic model to predict the health of AHUs, that helped in preventing unscheduled maintenance
and downtime.
◦ Developed an analytic model to identify the anomaly in the manufacturing process of glass films.

Multivariate AnalysisPattern RecognitionStatistical Data AnalysisArtificial Intelligence (AI)Exploratory Data AnalysisData Science+1

Ge transportation

2 roles

Analytic Domain Engineer

Oct 2015 – Oct 2016 · 1 yr

Predictive modeling and data mining of GE Locomotive Systems using domain expertise - analytics, anomaly detection, fault detection & prognostics on heterogeneous multivariate industrial-scale time series.
Help new talent in the team to get equipped with analytics concepts and tools.

Pattern RecognitionStatistical Data AnalysisExploratory Data AnalysisData SciencePredictive Analytics

Edison Engineer

Aug 2013 – Sep 2015 · 2 yrs 1 mo

I joined Edison Engineering Development Program (EEDP), rotation-based technical leadership program.
#Rotation1: Aux and Traction Control Team(GE Transportation) [Aug2013 - Mar2014]
Involved in design aspect of traction alternator for locomotive to reduce THD in output
voltage.
Involved in hardware in loop (HIL) real time testing for validation of locomotive controls.
#Roation 2: Power System and Conversion Lab (Global Research Center) [Apr2014- Dec2014]
Developed the experimental test-bed consisting of three power inverters emulating UPS
units connected in the IP ring bus architecture, to test the control algorithm. I was
appreciated and was recognized with an "above and beyond silver award".
Demonstrated the capability of Typhoon HIL simulator by comparing with the hardware
result for output voltage control for non-linear load.
#Rotation 3: Data Analytic Team [Jan2015 - Sep2015]
Developed an analytical model to predict the failure of Auxiliary and Traction Alternator in locomotive.
Analyzed, developed and validated predictive model for Air Compressor Leakage System.
Developed an prescriptive model for maintenance of Traction Motor prognostics.

Department of electrical engineering, iisc bangalore

Laboratory Teaching Assistant

Aug 2012 – Dec 2012 · 4 mos · Bangalore, India

Lab TA for the course Power Electronics. Responsible for guiding and helping students to perform laboratory exercises and testing and maintenance of lab equipments.

Automation & control systems

Summer Trainee

Jun 2010 – Jul 2010 · 1 mo · Chinchwad Pune

Underwent ISA-CIAT (The Instrumentation, Systems & Automation Society) Training Programme.
Extension Training on PLCs (AB/Siemens/Mitsubishi/Messung), MMI, SCADA, Drives, IEC language