V
N I G A R A N J U M
E D U C A T I O N
DIPLOMA IN DATA ANALYTICS
Toronto School of Management,
Toronto, Canada, 2022 – 2023 GPA: 4
BACHELOR OF E N G I N E E R I N G
I N COMPUTER SCIENCE
VTU Bengaluru, India.
T E C H S T A C K
Languages: Python (Pandas, NumPy), R, Ms-
Excel, Google Sheets, SQL
Data Visualization: PowerBI, Matplotlib,
Seaborn
Google Analytics course: Coursera
C A R E E R O B J E C T I V E
A hardworking and passionate job seeker with strong organizational skills eager to secure an entry-level data analytics position. Ready to help the team achieve company goals. Demonstrated ability to thrive in a fast-paced environment. Excellent analytical and problem-solving skills. Strong at multi-tasking, able to work independently and as part of a team, and Strong verbal and written communications skills.
E X P E R I E N C E
Junior data analyst
Coswave technology 2021 Jan – 2022 Aug
Watan Super Market
Collaborated with the stakeholders to set the
business and data objectives.
Cleaned and transformed the data using Python.
Applied statistical analysis to draw insights.
Created consumer and market trend analyses
using Python.
Created visualizations in Python and Build data
models to generate meaningful insights from
customer data, boosting successful efforts by
12%.
ADF Diesel - Automotive Aftermarket Sales
Participated in daily scrum meetings where
current tasks were discussed, and further
clarification of requirements was provided to
achieve timely and accurate deliverables.
Received, cleaned and prepped data using
Python, SQL and Excel to help build
marketing mix model which led current
clients to purchase products 13% more often.
Mobile: 289-***-****
Email: aduozy@r.postjobfree.com
LinkedIn: @NigarAnjum15
P R O J E C T S
VIDEO GAMES SALES Oct 2022
Designed PowerBi dashboard for client
for video games sales in a team using
Excel
Recommended the genre that should
be targeted for production of
accessories in the end 2023
Contributed to reports on product
development and design
WINE PRICE PREDICTION DEC 2022
I was instrumental in cleaning and
preparing the raw data to help predict
the future price of wine using
regression in R and performed K-mean
clustering.
Build visualizations in R to analyse
what factors affect the wine’s price.