Mridusmita Singha
Assam | Mridusmita Singha | - |-EDUCATION
Gauhati University
M.Sc in Microelectronics and Advanced Communication
● 7.86 CGPA
B.Borooah College
B.Sc in Physics
● 8.1 CGPA
ExcelR Solutions
Data Science Certification Course
Assam
2018
Assam
2016
Bangalore-
WORK EXPERIENCE
INNODATATICS
Data Analytics Intern
(Project Link)
June 2020- August 2020
● Developed data analytics skills through Python by completing data quality assessment and building a data
model for a Loan Default Prediction Project
● Performed exploratory data analysis using pandas, generated graphs using visualization techniques, and trained
various models.
● Used Random Forest for the final approach with 87% accuracy. Deployed the model in Flask.
LEADERSHIP EXPERIENCE
Omkar Educational Institute under ASDM
Assam
Center-in-charge
July 2019-October 2019
● Supervising for the smooth operation of the training institute; maintaining standards to amplify the overall
brand image of the institute; managing all and any official matters corresponding to trainers, staff, and
learners.
● Organizing and maintaining transcripts and records of the trainees and the trainers; coordinating trainee
enrolment and registration and facilitating class scheduling to ensure top-notch trainee and faculty service;
along with it helping the trainers, office staff, and the learners sharpen and enhance their potential skills.
● Interacting with trainees, trainers, and colleagues and holding an exceptional level of personal accountability
and helping them in any task if necessary; as well as possessing superior customer service skills and
courteously providing all the information regarding the training program to potential trainees and explaining
the various benefits of the training program; efficiently attending to numerous of the trainees, trainers and the
staff’s concerns of varying complexities, and competing priorities while maintaining confidentiality and
professionalism.
SKILLS
• Statistics – Various hypothesis testing, estimation, probability theory, time-series analysis, statistical modeling.
• Machine Learning – Algorithms for Regression (Linear, Logistic), Classification (Decision Trees, Random Forest,
XGBoost, SVM, Naïve Bayes, k-NN), PCA, Clustering (k-means, Hierarchical).
• R - Implemented ML Algorithms, used packages like dplyr,glmnet, ggplot, caret,boruta, missForest, mice, dummies
• Python - ML Algorithms, using packages like Numpy, Pandas, SciPy, Scikit-Learn, Statsmodels, Matplotlib, Seaborn
• Natural Language Processing – Text Processing, Web Scrapping, Sentiment Analysis, Regular Expressions, NLTK
• Deep Learning – Neural Networks, RNNs, CNNs, LSTMs; tensorflow, keras.
• SQL - Performing Basic Queries, Sub-queries, Joins, Aggregation, Statistical Functions.
• PowerBI and Tableau – Data Visualization, Business Intelligence, Forecasts, Tables, Charts, Dashboards
P.S.: Have worked on numerous data analytics and machine learning projects, uploaded on GitHub:
https://github.com/Mridusmita167?tab=repositories
