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akshita-singh-2000/README.md

Akshita_SIngh Banner Image

About Me:

Penguin
πŸŽ“ Currently : MS Data Analytics with ML major at Northeastern University.
πŸŽ“ Previous : BEng Information Technology with Data Science major at Mumbai University.
πŸ’» Proficient in Python, SQL, R, and various data science libraries.
πŸ’Ό Experienced in streamlining data processes and devising efficient solutions.
⚽ Passionate about sports, particularly badminton and soccer.
πŸŒ„ Enjoys spending time outdoors, finding peace in scenic nature and sunsets.

πŸ’» Tech Stack:

Languages

python c cplusplus java html5 css3 javascript php git

Data Science Libraries

pandas opencv tensorflow pytorch scikit_learn seaborn

Tools and Software

mysql mongodb mssql postgresql aws gcp postman

Work Experience:

NEU Image Data Assistant | Boston, MA
- Meticulously generated precise reports and data for 10,000+ graduates for software integration.
- Engineered data pipelines to transfer 4 years of CRO data to company servers, enhancing data accessibility.
- Developed dashboard with essential KPIs facilitating commencement event management & planning for 8 colleges.
COE Image Teaching Assistant (Data Mining) | Boston, MA
- Assisted professors in course material preparation, grading assignments, and conducting lab sessions,
- Provided one-on-one support to students during office hours, clarifying concepts and helping with projects.
Beam Image Data Engineer | Cambridge, MA
- Collaborated with cross-functional teams and CROs to analyze and optimize existing data processes.
- Engineered data pipelines to transfer 4 years of CRO data to company servers, enhancing data accessibility.
- Spearheaded solutions to enhance data flow efficiency, ensuring increased security and compliance.
- Created custom protocols and workflows, streamlining data processing by 40% and saving 25% time.
- Implemented data pipelines and utilized APIs to integrate data with third-party applications, enhancing usability.
Sahu Image Data Analyst | Mumbai, India
- Leveraged SQL to extract and manipulate data from large-scale relational databases.
- Employed Python-based solution to automate weekly KPI reporting, resulting in a 10% reduction in reporting time.
- Delivered comprehensive and visually engaging data dashboards and reports using Tableau.

πŸ“Š GitHub Stats:


πŸ“« How to reach me:

singh.akshi@northeastern.edu LinkedIn

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  1. MLOps-Brain-Tumor-Classification MLOps-Brain-Tumor-Classification Public

    Forked from Omii2899/Brain-Tumor-Classification

    This project is designed to develop, deploy, and maintain a machine learning model for brain tumor classification. The project utilizes a MLOps approach to streamline the development, deployment, a…

    Python

  2. Room-Occupancy-Estimation Room-Occupancy-Estimation Public

    The primary objective of this project was to develop a room occupancy estimator by constructing models entirely from scratch, without the use of any external libraries.

    Jupyter Notebook

  3. Skin-lesion-detection Skin-lesion-detection Public

    A deep learning project for detecting and classifying skin lesions from dermatoscopic images using the HAM10000 dataset. The repository includes data preprocessing, model training, and evaluation o…

    Jupyter Notebook

  4. Telcom-company-churn-prediction Telcom-company-churn-prediction Public

    The aim of churn prediction research is to spot at-risk clients early on, allowing a firm to take steps to keep them before they cancel their subscription or stop utilizing the firm's goods or serv…

    Jupyter Notebook 1

  5. Streaming-Platform-analysis Streaming-Platform-analysis Public

    This project is based on understanding the content availability and pricing of the top 2 streaming platforms (Netflix and Prime). The primary focus of this project is telling a story through data.

    1

  6. portfolio-website-react portfolio-website-react Public

    Building a React portfolio website

    JavaScript 1