Data Analyst
Summary
I am a software developer and data analyst with over four years of experience in the industry. I started my career as an intern at Invention Labs, where I developed a custom print service library for an Android app. After that, I joined IBM as a software developer, where I worked on various projects, including creating a Deep Learning tool that classified comments from Salesforce with 86% accuracy, developing a batch script that helped transfer user files between two SAP servers, and creating several analytical and interactive dashboards to track resource utilization and team performance.
During my tenure at IBM, I also worked on several projects related to EDI mapping and validation, including working as a Subject Matter Expert for VF Global and British Oxygen Company. I also worked on a blockchain application for Bajaj inventory tracking and trained IBM partners on serverless architecture.
I have received several awards and certifications, including Microsoft Certified Azure Fundamentals, IBM Artificial Intelligence Analyst Mastery Award, IBM/Coursera Data Analytics Essentials, and CS with Android Course by Google. I have also authored a research paper on Network Visualization, written several Medium blogs on Data Science, and filed a patent on Home Automation.
In my academic projects, I have worked on enhancing Deep Convolutional Neural Networks, transforming NoSQL to SQL datasets, developing a Portable system to measure body vitals, and creating an Android app to connect farmers to consumers, among others. I have won several awards for my work, including the Most Complete App Award at Freshdesk Hackathon and the Best National-Level Project Award from Engineering Students Innovation Challenge organized by ISSRD.
Overall, I have a diverse set of technical skills and a track record of delivering high-quality work. I am passionate about technology and always eager to learn new things.
Expectations
As a professional with a strong technical background in data analytics and software development, I am looking for a data analyst position that challenges me to apply my skills and experience in a dynamic and fast-paced environment.
I am excited about the opportunity to work with large datasets, leveraging data visualization tools and statistical techniques to analyze data and provide insights that support informed business decisions. I believe that my experience in creating analytical dashboards, developing ETL processes, and implementing deep learning techniques will enable me to excel in this role.
In my new job, I am also looking for a company that values innovation, encourages continuous learning and development, and provides opportunities for career growth and advancement. A positive and inclusive work culture, flexible work arrangements, and fair compensation and benefits are also important factors that I am seeking in my new job.
Overall, I am eager to leverage my technical expertise and analytical skills to make a meaningful impact and contribute to the success of the organization.
Employment Preferences
Expected Base Salary
**,000 USD
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
- Python
- Java
- C
- HTML
- MySQL
- IBM DB2
- PostGres SQL
- Aws Red Shift
- Aws Atina
- Sql Server
- Aws Lambda
- Data Bricks
- Tableau
- Microsoft Excel
- Couch DB
- MongoDB
- Azure Data Factory
- Aws Glue
- Db Warehousing
- Azure Blob Storage
- Aws S3
- Hadoop
- Spark
- Hive
- Scikit-Learn
- Pytorch
- IBM Cognos
- Azure
- Android
- Hyperledger Blockchain
- Node.js
- Express
- Machine Learning
- Deep Learning
- Git
- Eclipse
- Linux
Contacts are hidden
Send a connection request to the candidate to get their contact details.
Contact Candidate
