Summary
Work History
Education
Accomplishments
Timeline
Skills
Work Preference
BusinessAnalyst
gauri sharma

gauri sharma

Data Scientist
Faridabad,Haryana

Summary

Previous experience involves: Digital Marketing, Backend Software Development, Big Data Analysis, and Business Intelligence. Proficient in C++, Python for Data Visualization, RDBMS, System Commands, Software Testing, Advanced Engineering Mathematics for Data Science (Multivariable Calculus, Linear Algebra), Statistics for Data Science (Inferential and Descriptive). Well versed in Axiomatic Probability. Ran a Nonprofit. Broadening my skillset and redefining my approach towards attaining in-depth knowledge of subjects in my domain by shifting my focus to application based learning, courtesy : IIT-Madras. Specializing in AI/ML, MLOps, Deep Learning. Internships since Jan 2021 include Corizo Machine Learning and Deep Learning (project based-Minor+Major deliverables)

Work History

Python Developer

Indian Institute of Technology
Madras
01.2024
  • Supported business objectives by developing custom reporting tools using Python libraries like Pandas and Matplotlib.
  • Integrated Java-based web services into database management projects using Python.
  • Integrated machine learning models into Python applications for advanced data analysis and predictions.
  • Built databases and table structures for web applications.

Machine Learning Intern

Corizo
11.2022 - 12.2022
  • Data Preparation and Exploration: Assisted in collecting, cleaning, and preprocessing datasets for machine learning tasks, ensuring data quality and integrity
  • Model Development and Training: Worked alongside a senior data scientist to build and train machine learning models using various algorithms and frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Feature Engineering and Selection: Explored feature engineering techniques and methods for selecting relevant features to improve model performance and accuracy
  • Model Evaluation and Validation: Conducted experiments to evaluate and validate the performance of machine learning models using appropriate metrics and validation techniques
  • Hyperparameter Tuning: Explored hyperparameter tuning methods and strategies to optimize model performance and generalization ability
  • Visualization and Interpretation: Visualized and interpreted model outputs and predictions using data visualization tools and techniques to derive actionable insights
  • Two deliverables.

Machine Learning Intern, Student Program

Amazon Web Services, AWS
10.2022 - 12.2022
  • Data Collection and Annotation: Acquired and preprocessed large-scale speech datasets, designed annotation pipelines, and developed tools for data labeling and quality control
  • Model Architecture Design: Designed and implemented deep learning architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), long short-term memory (LSTM) networks, and transformer-based models, tailored for ASR tasks
  • Model Training and Optimization: Trained and fine-tuned machine learning models using large-scale datasets and distributed computing frameworks (TensorFlow, PyTorch, Apache), optimizing performance metrics and reducing computational costs.

Freelancer

CloudxLab
Roorkee
05.2021 - 11.2021
  • Hands-on Exercises and Projects: Developed real-world projects that allowed fellow learners to apply theoretical concepts and gain practical experience with deep learning frameworks such as TensorFlow, PyTorch, Keras
  • Code Samples and Tutorials: Wrote code samples, tutorials, and walkthroughs that demonstrate the implementation of deep learning algorithms, best practices, and optimization techniques in Python and other programming languages.

Data Analyst

EmaChat
09.2021 - 10.2021
  • Data Collection and Preparation: Assisted in collecting, cleaning, and organizing data from various sources to ensure accuracy and reliability for analysis
  • Data Analysis and Visualization: Performed exploratory data analysis and generated insights using statistical techniques and data visualization tools (Excel, Power BI)
  • Report Generation and Presentation: Prepared reports, dashboards, and presentations to communicate key findings and insights to stakeholders in a clear and concise manner
  • Assist in Model Development: Support the development of predictive models and algorithms under the guidance of senior data analysts, leveraging machine learning techniques and statistical methods
  • Quality Assurance and Testing: Participated in quality assurance processes to validate data integrity, identify anomalies, and troubleshoot issues as needed
  • Documentation and Knowledge Sharing: Documented data analysis procedures, methodologies, and findings to ensure transparency and knowledge sharing within the team
  • Ad Hoc Analysis and Special Projects: Assisted in ad hoc analysis and special projects as assigned, contributing to strategic initiatives and business objectives
  • Content Contributor at CloudxLab

Senior Business Intelligence Analyst

Pooja Metal
Faridabad
04.2020 - 01.2021
  • Strategic Data Analysis:, the analysis of complex datasets to identify trends, patterns, and correlations that inform strategic decision-making and drive business performance
  • Data Modeling and Forecasting: Developing predictive models and forecasting algorithms to anticipate future trends, mitigate risks, and capitalize on opportunities
  • Dashboard Development and Visualization: Designing and developing interactive dashboards and visualizations that provide actionable insights to stakeholders at all levels of the organization
  • Performance Monitoring and KPI Tracking: Establishment of key performance indicators (KPIs) and develop metrics dashboards to track performance against organizational goals and objectives
  • Data Governance and Quality Assurance: Implementation of data governance policies and procedures to ensure data integrity, accuracy, and consistency across the organization
  • Cross-functional Collaboration: Collaborated with business leaders, data engineers, and IT teams to streamline data workflows, optimize data infrastructure, and enhance data accessibility
  • Mentorship and Knowledge Sharing: Provided guidance and mentorship to junior analysts, sharing best practices, fostering a culture of continuous learning, and driving professional development initiatives.

SEO Analyst - Digital Marketing

Pooja Metal
Faridabad, Haryana
01.2019 - 07.2019
  • Search Engine Optimization(SEO), Search Engine Marketing(SEM)
  • EM,CRM(Hero, Havells, Schneider Electric etc.)
  • Responsible for developing, implementing and managing marketing campaigns to promote the company and its products and/or services
  • Improved page content, keyword relevancy (MSV/Long-Tail
  • Keywords), and branding to achieve search engine optimization goals
  • Spearheaded client meetings to determine project needs and professional requirements and identify correct course of action enhance client success and discussed SEO needs and optimized strategies for short- and long-term campaigns
  • Key Responsibilities:
  • Data Collection and Integration: Gathering data from multiple digital marketing channels and integrating them into centralized databases or platforms for analysis
  • Data Analysis and Visualization: Utilizing business intelligence tools(Microsoft Power BI) and statistical techniques( heavily relied on predictive analysis) to analyze digital marketing data, identify trends, patterns, and opportunities
  • Performance Monitoring: Monitoring the performance of digital marketing campaigns in real-time and providing the timely insights and recommendations for optimization
  • Reporting and Dashboard Development: Developed comprehensive reports and interactive dashboards to communicate key metrics
  • KPIs, and insights to stakeholders
  • Forecasting and Predictive Modeling: Leverage advanced analytics techniques to forecast future trends and outcomes, enabling proactive decision-making
  • Cross-functional Collaboration: Collaborate with cross-functional teams including marketing, sales, and product development to align data-driven insights with business objectives
  • Continuous Improvement: Staying ahead of industry trends, emerging technologies, and best practices in business intelligence and digital marketing to drive continuous improvement initiatives.

Big Data Analyst

National Informatics Centre
05.2017 - 07.2017
  • Skill(s): Data Mining and Predictive Analysis, Data Curation, Graph
  • Modelling, Implementing Data Mining Algorithms using Python
  • Performed thorough research on Chronological Big Data Curation(a study on advanced Information Retrieval Systems)
  • Digital Curation, Chronological Big Data Curation Process, Data
  • Acquisition Process, Graph Modelling(time and similarity relation graph),Chronological Analysis, Analysis of Social Networking
  • Sites(SNS) Data set
  • Big Data Technologies: Gain hands-on experience with big data technologies and platforms such as Hadoop, Spark, Apache Hive
  • Apache Pig, Apache Kafka, and Apache HBase, learning how to process, store, and analyze large-scale datasets efficiently.

Software Engineer Intern

Paytm
06.2016 - 07.2016
  • Code Review and Quality Assurance: Participated in code reviews, unit testing, and quality assurance processes to ensure adherence to coding standards, best practices, and security protocols
  • Documentation and Knowledge Sharing: Documented project workflows, technical specifications, and implementation details, and shared knowledge and insights with team members to foster a culture of learning and collaboration.

Education

Certification , Artificial Intelligence And Deep Learning, May -

Indian Institute of Technology
2021

Post Baccalaureate Degree - Data Science and Applications

Indian Institute of Technology
January 2024

Bachelor of Science - Computers and Communication Engineering

Manipal Institute of Technology, CCE
Manipal
08.2014 - 07.2019

High School Diploma -

Delhi Public School
2014

Accomplishments

  • Attended Singapore International Energy Week(SIEW), 2022. Area of Discussion: AI-IoT uses in greentech, sustainable energy. Image Recognition for improvement/future of Electrical Grid Systems
  • Academic Scholarship - Scoring the top 5 position in the entire batch. International Rank 342, National Cyber Olympiad. (11th NCO, 2011), Attained limited working proficiency in French - High School Level

Timeline

Python Developer

Indian Institute of Technology
01.2024

Machine Learning Intern

Corizo
11.2022 - 12.2022

Machine Learning Intern, Student Program

Amazon Web Services, AWS
10.2022 - 12.2022

Data Analyst

EmaChat
09.2021 - 10.2021

Freelancer

CloudxLab
05.2021 - 11.2021

Senior Business Intelligence Analyst

Pooja Metal
04.2020 - 01.2021

SEO Analyst - Digital Marketing

Pooja Metal
01.2019 - 07.2019

Big Data Analyst

National Informatics Centre
05.2017 - 07.2017

Software Engineer Intern

Paytm
06.2016 - 07.2016

Bachelor of Science - Computers and Communication Engineering

Manipal Institute of Technology, CCE
08.2014 - 07.2019

Certification , Artificial Intelligence And Deep Learning, May -

Indian Institute of Technology

Post Baccalaureate Degree - Data Science and Applications

Indian Institute of Technology

High School Diploma -

Delhi Public School

Skills

  • Software Solutions
  • Linux Environments
  • Database Management
  • HTML and XML
  • Scripting Languages: PHP, Python, JavaScript
  • Statistical Reporting
  • Debugging and Troubleshooting
  • Data Science Principles Implementation
  • Data Mining
  • Performance Analytics

Work Preference

Work Type

Full Time

Work Location

Remote

Important To Me

Company CulturePaid time offWork-life balanceTeam Building / Company RetreatsPaid sick leave

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gauri sharmaData Scientist