Narendra kumar Meena

Product Engineer

Tonk, Rajasthan, India0 mo experience

Key Highlights

Experienced in Data Science and Software Engineering
Proven track record in automating processes and enhancing efficiency
Hands-on experience with machine learning techniques

Stackforce AI infers this person is a Data Science and Software Engineering professional with a focus on Fintech and automation.

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Skills

Core Skills

Data ScienceSoftware EngineeringMachine Learning

Other Skills

Apache AirflowAutomationCausal InferenceData ValidationDeep Neural NetworksDimensionality ReductionETL PipelineExploratory Data AnalysisLooker StudioNumPyPandasProbabilistic Graphical ModelsPythonReinforcement LearningSQL

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Acies

Data Science Intern

Dec 2023 – Mar 2024 · 3 mos · Mumbai, Maharashtra, India · Remote

Conducted comprehensive exploratory data analysis (EDA) on diverse financial datasets for specific clients, extracting actionable insights that significantly aided their decision-making processes.
Utilized Pandas and NumPy libraries to manipulate data, optimizing performance and boosting workflow productivity.
Implemented robust data validation protocols, leading to a 20% reduction in error rates and significantly enhancing data
reliability, which was crucial for critical decision-making processes.

Exploratory Data AnalysisPandasNumPyData ValidationData Science

Algozenith

Mentor

Sep 2023 – Nov 2024 · 1 yr 2 mos · Nagpur, Maharashtra, India · Remote

Mentoring students throughout their journey of Learning Data Structures and Algorithms to aid their preparation for Tech Interviews

Razorpay

Software Engineer Intern

May 2023 – Jul 2023 · 2 mos · Banglore · Hybrid

Streamlined operations by identifying 5 manual processes for automation, creating detailed process
documentation; facilitated seamless automation, resulting in a 50% reduction in processing time and a 50%
increase in operational efficiency.
Designed and implemented an ETL pipeline using Apache Airflow, Python, and optimized SQL queries,
orchestrating data flows with DAGs, resulting in a 30% reduction in data processing time and a 25% decrease in
Node memory usage.
Facilitated data extraction, transformation, integration with Looker Studio for enhanced analytics capabilities.
Developed and implemented a highly accurate solution to compute Recovery/Reversal Amounts for incorrect
pricing payments, ensuring full precision and reducing errors by 10%.
Created comprehensive Looker Studio dashboards for real time monitoring of Freshdesk Tickets, Onboarding
Metrics, and Route Payments data, enhancing decision making speed and reducing response time by 20% .

AutomationETL PipelineApache AirflowPythonSQLLooker Studio+1

Amazon

Amazon ML School 2022

Jun 2022 – Aug 2022 · 2 mos

• Gained hands on experience on various machine learning modules such as Supervised Learning ,Deep Neural Networks ,Dimensionality Reduction ,Probabilistic Graphical Models ,Sequential Learning ,Causal Inference and Reinforment Learning .

Machine LearningSupervised LearningDeep Neural NetworksDimensionality ReductionProbabilistic Graphical ModelsSequential Learning+2