lindah Shirasala

Data Analyst

Based in nairobi

About

Greetings, let me introduce Lindah Shirasala, an aspiring Data Analyst embarking on an exhilarating journey into the realm of data analytics. Her current role marks her entry into this vibrant field, where she radiates enthusiasm for harnessing data's potency to uncover profound insights. As a dedicated beginner traversing the data analytics universe, Lindah's personal brand, "Navigating Data to Illuminate Pathways," succinctly captures her eagerness to unravel complex datasets, unveiling narratives that guide decision-making. Fortified with a robust foundation and an insatiable thirst for knowledge, she harbors an unwavering resolve to contribute to organizational growth through her burgeoning expertise. Lindah's goals ascend towards excellence in the realm of data analytics, arranging da

Skills

Projects

ALX team project slides-High Rate of Youth Unemployment in Kenya

Create an online platform that helps job seekers and freelancers find jobs, freelance gigs, or business opportunities by matching them with the perfect opportunities for their skills and interests. With artificial intelligence serving as the basis of its functioning, the online platform analyzes you

ALX group video YouTube -High Rate of Youth Unemployment in Kenya

A video to the project slide decks

Data visualization: Empowering Business with Effective Insights

The project consisted of four tasks: Task 1: Framing appropriate questions that will help get the appropriate solution for the organization. Task 2: Choosing the right visualization that would make the data speak in the right manner and gain insights Task 3: Creating effective Data...

Maji Ndogo Water Crises project

This is a four-part SQL Data Analysis project I completed as part of the SQL sprint in the ALX Data Analyst program. We explored a data set of about 60000 rows to help solve the Maji Ndogo water crises related to SDG 6 and concluded by creating a working table for the engineers to work.

Maji Ndogo Water Crises project

United Nations Global Access to Clean Water Report

This is a two-part Google Sheets project completed as part of my Data Analyst training with Explore AI Academy and ALX Africa to get insights from the United Nations Access to Clean Water global report for 2020.

House Suicide Statistics:

House Suicide Statistics: Check rate of suicide per house

Telco Customer Churn Prediction

Context "Predict behavior to retain customers. Analyze all relevant customer data and develop focused customer retention programs." [IBM Sample Data Sets]

Key to Bayes & random binary strings

Let's see how we can use Bayesian inference to determine which of two sets of 10-digit binary strings is human generated, and which is machine generated.

An end-to-end project to predict road accident severity with code snippets

This is a multiclass classification project to classify the severity of road accidents into three categories. This project is based on real-world data, and the dataset is also highly imbalanced. There are three types of injuries: minor, severe, and fatal.

Experience

2018-2020

Data Analyst Trainee: Kenya Agricultural and Livestock Research Organization

Developing and implementing data collection systems and other strategies that optimize statistical efficiency and data quality • Identifying, analyzing and interpreting trends or patterns in complex data sets • Analyzing data and providing clients with results and recommendations that are both actionable and understandable • Acquiring data from secondary and primary data sources and maintaining databases and systems • Extracted data to build metrics or create dashboards, tracking success toward KPIs. • Assisted with development of dashboards and reports using spreadsheet and visualization software. • Shared insights with customers regarding drivers of success or areas of opportunity.

2022-2022

KPMG AU Data Analytics Job Simulation on Forage

* Completed a simulation focused on advising a client on customer targeting with the Data, Analytics & Modelling team * Assessed data quality and completeness in preparation for analysis * Analyzed data to target high-value customers based on demographics and attributes * Developed dashboards to communicate findings with visuals

Education

2015-2019

BSC (Statistics and Programming), Kenyatta university

I completed BSC degree in statistics and programming.

2022-2023

Worldquant University- Applied Data Science

I have completed eight projects. Each project consisted of four self-paced lessons, followed by an assignment that is programmatically graded. 1. HOUSING IN MEXICO: I used a dataset of 21,000 properties to determine if real estate prices are influenced more by property size or location. I imported and cleaned data from a CSV file, build data visualizations, and examined the relationship between two variables using correlation. 2. APARTMENT SALES IN BUENOS AIRES: I did build a linear regression model to predict apartment prices in Argentina. I created a data pipeline to impute missing values and encode categorical features, and improved model performance by reducing overfitting. 3. AIR QUALITY IN NAIROBI: I did build an ARMA time-series model to predict particulate matter levels in Kenya.

May 2023- December 2023

Data Analyst at ALX Africa

Enrolled in a 6- Months Data Analyst program by ALX Africa and Explore AI.

2022-2023

Software Engineering at ALX Africa

July 2023-DEcember 2023

Applied data and AI at Equitech Futures

Foundations of Data science and Programming: Programming in Python, Data Wrangling and Visualization, Probability and Bayesian Inference, Linear Modelling, Causal Experiments, Predictive Modeling and Machine Learning Applied AI-how to apply artificial intelligence tools in various domain and focus on how to deploy AI algorithms and the potential and risks associated with them. Speaking Lab: practicing my voices’ capacities for navigating differences and finding connection. Writing lab: worked to refine my writing habits, learn to unpack complex ideas to broad audiences, and make persuasive arguments. Covered topics included Storytelling for Innovation, Persuasion, Considering my Audience, Composing Yourself, Forms of Reasoning, and Complex Ideas Communicated Simply.