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Lessons offered by Sajid
  • Individual
  • In group
The lessons will be held
  • at his home
  • at your home
  • By webcam
Taught subjects
  • Computer programming
  • Programming languages
  • Python
  • Artificial Intelligence
  • PostgreSQL
Levels
  • All Levels

I'm working as a Data Scientist for Deloitte Banking and Capital Market.

Methodology

My teaching methodology is based on listening to the student to help to unleash its potential. I'm planning to use different productivity tools that I'm using when I'm studying, such as Pomodoro methodology, to be more efficient and skyrocket the results.
Furthermore, I want to bring to my students the possibility to get contacts into the data science and AI world by sharing my personal contact and my network.

Experience

My name is Sajid Lhessani.

After a Bachelor of Applied Science and Master of Civil Engineering, I pursued my education with a master's in big data analytics and have been graduated in July 2018.

Today I'm working as a Data Scientist for Deloitte Banking and Capital Market in London. Before that, I have been first exposed to Python during my experience as a Civil Engineer. I managed a massive database composed of more than 100,000 components concerning the mechanical, thermic, and chemical composition of concrete used in the project. My core mission was to compare the actual result the model used pre-project and to detect unusual patterns.

I'm actually using Python on a daily basis for 3 years now and developed different complex financial models used for trading.

Rates

Transportation Fee : £5
Rate for online lessons : £20/h
Rate for 5 hours of lessons : £87
Rate for 10 hours of lessons : £157
Lessons offered by Sajid
Individual
In group
The lessons will be held
at his home
at your home
webcam
Taught subjects
  • Computer programming
  • Programming languages
  • Python
  • Artificial Intelligence
  • PostgreSQL
Levels
  • All Levels

Sajid's CV

Area of expertise

Coding Language: R, Python, SQL
Data Visualization: Tableau, PowerBI, PlotLy and D3Js (R & Python)
Python expertise package: TensorFlow, Spark Apache (AWS), Keras


Data Science/ Developer Experience (Non-working environment)

FACEBOOK October 2018 – January 2019

Facebook developer Creation of a bot based on NLP and artificial intelligence

• Created a Bot prototype based on NLP (Natural Language Processing) which can predict intent and sentimental analysis with an accuracy over 60%.
• Use of Recurrent Neural Network approach for word text classification, semantic matching, sentiment analysis, and language modeling.


BANCO SANTANDER—Cambridge, United States of America June 2018 – August 2018

Data Scientist Kaggle Challenge

• Managed a database composed by 20,000 customers and 81 variables.
• Creation of a mathematical model to approach real consumer behavior.
• Use of logistic regression, support vector machine, bagged trees, and random forest algorithm concerning predictive value and made a complete comparison.
• Language: R


Experience in working environment _______________________________________________

DELOITTE UK—London, United Kingdom January 2019 – Today

Assistant Manager – Banking and Capital Markets (Data Science) August 2019 – Today

Managing, training and reviewing scripts of Junior Profile (0 to 7 years of experience).

Expertise Area:
- Python, R
- Big Data (Spark, AWS, SQL Server management).
- Data Visualization: Tableau, Power BI

Senior Associate – Banking and Capital Markets (Data Science) January 2019 – August 2019

Senior Associate, Deloitte, Analytics and Modelling Department.

Main Task:
- Quantitative Analysis, Statistics, and Mathematics.
- Data science, Data Visualization


BNP PARIBAS—Brussels, Belgium November 2018 – December 2018

Data scientist consultant (Intys Data) 6 weeks mission into CBI (Corporate & Institutional Banking) and BDI (Business Data Intelligence) department in collaboration with McLar team.

• Automatization of reporting concerning Risk Calculation and Stress Test from Excel to Python. (Monte Carlo simulation, Stochastic Modelling)
• Support Head and Executive Level of McLar Team on the transition to Python.
• Developed a projection Dashboard using BNP’s internal tools (MRX & RiskLab) and coded on Python.
• Area of expertise: Python



3M GULF—Dubai, United Arab Emirates March 2018 – May 2018

Market Analyst/Strategist Internship after winning a national marketing competition.

• Launched and led a marketing digital campaign worth $ 60,000 USD.
• Analyzed and studied global and price strategy of 4 competitors into UAE market.
• Developed a pricing intelligence skill through relevant marketing strategy for BtoB and BtoC.



VINCI GRAND PROJET—Reunion Island, Indian Ocean February 2017 – August 2017

R&D Engineer Civil engineer expat, on the second longest viaduct off-shore in the world for quality department.

• Negotiated, launched and led R&D projects worth $190,000 USD.
• Managed a team between 3 and 10 people.
• Data and statistical analysis of a population composed by more than 100,000 results based on concrete characteristics (Mechanic, Thermic, Volume variation).


Education


Business Analytics Program
HBX - Harvard Business School | Cambridge, USA

Master of International Business (MIB), Specialization in Big Data Analytics
Hult International Business School | Cambridge, USA

Master of Civil Engineering (MS), Thesis on Predictive Modelling and Neural Network
Paul Sabatier University - INSA Toulouse | Toulouse, France



Publication

Deep learning, Neural Network and Python (Publisher: Medium)

Link : (concealed information)

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