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Indrani Banerjee

Indrani Banerjee

Certified

AI Resident

Apziva | Remote

Technologies

My Portfolio Highlights

My New Course

Introduction to Python

My New Project

Dr. Semmelweis and the Discovery of Handwashing

My New Track

Python Fundamentals

Quantitative detective, solving mysteries and uncovering truths in data.

My Work

Take a look at my latest work.

workspace

The Android App Market on Google Play

workspace

Predicting Credit Card Approvals

workspace

Dr. Semmelweis and the Discovery of Handwashing

My Certifications

These are the industry credentials that I’ve earned.

Associate SQL

Associate SQL

Data Literacy

Data Literacy

AI Fundamentals

AI Fundamentals

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

Apziva | Dec 2022 - Present

AI Resident

Designing and implementing machine learning solutions in Python for industry projects across a multitude of industries including finance, logistics and delivery, and recruitment. Undertaking multiple projects in regression analysis, classification, ranking algorithms for natural language processing, and in computer vision. Presenting technical projects to industry experts, justifying methodology used at each stage of the DSM.
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Quantum Prep | Dec 2021 - Present

Academic Instructor

Provide detailed instructions and guidance on advanced statistical techniques and calculus for 16-18 year old students. Coaching students to develop personal projects in mathematics and physics, implementing introductory principles of graph theory, Monte Carlo Simulations, and complex data analysis using Excel and ANOVA.

Springboard | Dec 2021 - Jun 2022

Data Science Career Track

550+ hours of hands-on curriculum, with 1:1 industry expert mentor oversight, and completion of 2 in-depth capstone projects. Mastering skills in Python, SQL, data analysis, data visualization, hypothesis testing, and machine learning. Project: Deep Learning: Natural Language Processing for Binary Classification of Tweets Developed custom functions for cleaning the Disaster Tweet Dataset shared on Kaggle and Data for Everyone which remove emojis, emoticons, punctuation and other textual features that are considered noise. Produced a custom stop word list using CountVectorizer and TF-IDF. Created word clouds to illustrate similarities between the two target classes and to justify excluding locations and keywords for tweets. Evaluated machine learning models and Word2Vector CNN for binary classification of tweets, with improvements from 61% to 99% in accuracy. Project: Machine Learning: Classification of Breast Cancer Tumours Developed machine learning models for the classification of the Wisconsin Diagnostic Dataset. Developed Hyperparameter tuning of models using GridSearchCV, and RandomSearchCV to improve false positive rates over false negative rates. Evaluated models using F1 scores, Matthew’s Correlation Coefficient, AUC- ROC, and further improved models using Bayesian Optimisation and by omitting features with less than 1% importance. Presented findings using Microsoft PowerPoint, Matplotlib, and Plotly.

The Edge Learning Center | Nov 2019 - Dec 2021

Academic Partner

Designed and launched successful marketing programs for International Baccalaureate Higher Level Maths, resulting in 20% increase in peak season enrollments and a consistent 40% increase in revenue over two years. Produced presentations and teaching material on topics such as tree and cycle algorithms with undirected graphs, and hypothesis testing. These include Eulerian trails, Kruskal’s and Prim’s algorithms. Provided support and concept reinforcement lessons on mathematics, physics, thermodynamics, and statistics course for university students studying business and finance, maths, physics and mechanical engineering degree programs. Taught the use of evaluation methods such as central limit theorem, hypothesis testing, Chi Squared goodness of fit tests, transition matrices including the use of transition diagrams, regular Markov chains, initial state probability matrices including the application of eigenvectors and eigenvalues. Examples used include the travelling salesman problem to determine the Hamiltonian cycle of least weight in a weighted complete graph, the use of Bayes’ theorem by hand for a maximum of three events, and interpreting probability density functions.

The Edge Learning Center | Nov 2017 - Nov 2019

Mathematics and Physics Tutor

N/A

Sylvan Learning | Sep 2016 - Oct 2017

Assistant Center Manager

Conduct diagnostic tests and revision programs for SAT and ACT for students considering US college applications. Engage in one-to-one discussions with IGCSE and MYP students regarding IB Diploma and A-Level subject selections, and advice on academic progression. Activities often include teaching students how to conduct higher education research and to review international universities and courses. Speak to new parents and prospective students, and build rapport with parents and students to establish a lasting relationship between clients and the tutoring centre. Keep track of staff, and maintain punctuality in the centre as the main point of contact for all other senior subject tutors. Complete responsibility for operation of the centre several days of the week. Able to balance the needs of assisting fellow teachers whilst simultaneously tutoring maths and science to senior students.

Sylvan Learning | Oct 2015 - Oct 2016

Mathematics and Science Tutor

As a Physics graduate, specialist in advanced content featured in SAT, ACT IB, AP, and AS and A2 Maths and Physics courses. Strong background in IGCSE Physics, Chemistry and Maths with experience in teaching students of varying abilities in preparation for final examinations. Highly experienced in supporting and advising IB students on the structure and requirements of Physics and Maths Internal Assessments and Extended Essays. Work closely with students in the MYP to help them develop skills and knowledge for scoring highly in Criteria B and D assessments in maths and science. Provide assistance and guidance through all sections of the Personal Project for final year MYP students. Experienced in guiding current students in Harrow Hong Kong and Kellett School through the Extended Project Qualification. Currently conduct lessons with HKIS and ESF students who are interested in preparing for the UKMT challenge and Maths Olympiad qualifications. Work with HKIS students in pre-calculus, Honours Calculus amongst other honours maths courses from the American education system.

Third Bridge Group Limited | Jan 2015 - Oct 2015

Research Analyst

Cognolink connects investors and businesses to critical intelligence. We know who to talk to and how to uncover the most elusive market insights so that our clients gain a competitive advantage. With research professionals on the ground across three continents, speaking 25+ languages, we are at home in all of the key markets where our clients are active. As a non-advisory partner, we offer our clients multiple routes to access knowledge direct from industry professionals and thought leaders: - Private consultations and meetings with industry specialists carefully chosen for their ability to deliver specific insight - Conference calls that make it simple to tap into the ever-evolving intelligence generated by our research teams - Exclusive reports that deliver a clear and unbiased snapshot of listed company performance

My Education

Take a look at my formal education

International Baccalaureate Diploma, Physics, Chemistry, Mathematics,South Island School
The University of Edinburgh
The University of Glasgow

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