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Akshit Singh

@akshitsingh

Data Science Trainee at AlmaBetter

Bengaluru, Karnataka

https://linkedin.com/in/akshit101

AlmaBetterDelhi Technological University

Akshit is an engineer with two years of software experience and specialized expertise in data analysis and machine learning. He has a proven ability to generate data-driven solutions, including integrating Redis cache to reduce API latency by 70%. His experience includes utilizing tools like Datadog and Grafana for application monitoring on AWS, and applying skills in data visualization using Tableau and PowerBI.

Experience

Data Science Trainee

AlmaBetter

Invalid Date - PresentBengaluru, Karnataka

Learned the concepts of machine learning and acquired skills in data cleaning and preprocessing, EDA, feature engineering, model selection and evaluation, etc. Improved storytelling skills by giving presentations on valuable insights drawn from complex datasets. Used Tableau and PowerBi for data visualization and libraries like Scikit-learn to solve real-world problems. Worked as a Subject Matter Expert, assisting over 100 students through a doubt resolution forum.

Software Engineer

BYJU'S/WhiteHatJr

Invalid Date - Invalid DateMumbai, Maharashtra

Implemented Redis cache for the Super30 project to reduce the response time of an API by 70%. Used analytics tools like Datadog for monitoring applications. Wrote optimized SQL queries for a referral program to reduce the latency by 20%.

Software Engineer

OYO

Invalid Date - Invalid DateGurugram, Haryana

Implemented MongoDB for the hotel slot booking project to quickly retrieve large amounts of customer data. Worked on an interactive visualization tool such as Grafana for monitoring the systems online. Used Kibana for checking logs of the system.

Education

Delhi Technological University

B.Tech in Electrical and Electronics Engineering

Electrical and Electronics Engineering

Invalid Date - Invalid DateGrade: CGPA: 7.55/10

Skills

Python
SQL
NumPy
Pandas
Matplotlib
Seaborn
NLTK
Scikit-learn
Tableau
Power BI
Microsoft Excel
Google Analytics
Jupyter Notebook
Redis
MongoDB
Datadog
Grafana
Kibana
AWS
Data Cleaning
Data Preprocessing
EDA
Feature Engineering
Model Selection
Evaluation
Linear Regression
Logistic Regression
Decision Trees
Ensemble techniques
KNN
Naive Bayes
SVM
K-means
Data Science
Data Analytics
Data Modeling
Problem Solving
Data Visualization
Database Queries
Computer Engineering
Oral Communication