Aman G HeHim
Aman G HeHim
Used to manage E2E Google play account with both (EMEA and APAC regions), understand economics of marketing mix modelling such as economics of programmatic etc.
Handled $1.3- $2 million budget per quarter for APAC.
Worked upon below tools/softwares extensively:-
* Olive and datalab for placement Creation and anomaly detection
* DSPs (DV360, TTD, Adelphic, verizon)
* Google Ads, CM360
* 3rd party measurement vendors (Neilson In-platform, IAS, DV)
* Power BI (Advance Analysis and Visualization), Lookr Studio
* Predictive Modelling (Supervised learning :- Multivariate Linear Regression, Time series forecasting using ARIMA)
Advance optimizations for Even pacing of APAC markets, daily/weekly depending upon performance of tactics/LIs.
What a month looks like as MAE:-
* Weekly comprehensive Deep-dive commentary for Audience segments/ IOs and tactics/ LIs to interpret seasonality, trend and cyclicity in revenue to RGT/Client.
* Daily pacing and Advance pacing optimizations when Req.
* MoM analysis:- Revenue centric optimization on MoM basis. Analysis is done on MoM basis for audience segments and tactics for revenue centric optimizations and suggest advance optimization changes as per performance.
* Daily BPFL Violation checks
* Weekly Health Checks on thursday.
* Impression reporting BI - Weekly
* Client Calls Twice a week.
What I bring:-
I Bring diverse acumen and a dynamic skillset to the table and my Repertoire has found new horizons.
I am working on enhancing my IQ and EQ, and now I have not only just dipped my toes into the holy waters of TQ, but prepared a dashboard in Power BI for my team for MoM Analysis where I provided a tonne of data solutions that have been provided using DAX and power queries.
I enabled ML and AI to get actionable Intelligence insights. Adding to that, I know Predictive modeling in R and Python, where I predicted the Budget for the next quarter using a linear regression model (replacing manual forecasting that we do) + I prepped the model for time series analysis to interpret seasonality, cyclicity, and trend components in the data which is insurmountable to do by a human being.
Currently working on Neural network, MLP for a marketing use case and automating analysis and recommendations via chat gpt.
All this Sweet creamiest layer of the cake should have a rigid foundation that is of 2 masters as below:-
PGDM IB and Marketing
Data Science Master's program
Used to manage E2E Google play account
- Role
Ad Ops Associate, Amazon and other brands (NA region)
- Years of Experience
3 years
Skillsets
- Deep Learning
- Email Marketing
- Algorithms
- ALM
- Python
- Troubleshooting
- Marketing
- Data Mining
- Marketing Campaign
- QA
- TensorFlow
- Exchange
- ML
- Quality Assurance
- Power BI
- Content Writing
- Scala
- SQL
- Database
- R
- ETL
- Firebase
- DV360 - 3 Years
- CM360 [DCM] - 3 Years
- Data Analysis - 3 Years
- AI
- Apache Spark
- Meta
- Spark
- Google Ads
- DV360 - 3 Years
- Data Science
- Go
- Apache
- Big Data
- Machine Learning
- CM360
- ELT
- On
Vetted For
- Roles & Skills
- Results
- Details
Jr. Paid Media Performance MarketerAI Screening- 58%
- Skills assessed :Conversion Campaign Optimization, Google Ads - Search, Meta Ads, Performance Max, Google Analytics, LinkedIn Ads, Strong Attention to Detail
- Score: 52/90
Professional Summary
- May, 2023 - Dec, 2023 7 months
Greater India Media Associate
HP - Aug, 2021 - May, 20231 yr 9 months
GroupM
Google B2B (NA, APAC and EMEA Regions) - Dec, 2020 - Aug, 2021 8 months
Ad Ops Associate, Amazon and other brands (NA region)
Kinesso, IPG, Mumbai
Work History
Greater India Media Associate
HPLeading the business units comes under personal systems such as Gaming - Omen, Non Gaming - Pavilion, AIO, Elitebook, Chromebook.
In 3 months, I learned the extraction part of it and through dataslayer and automated a report for Our Marketing Managers for which I recall receiving a recognition as well.
I worked on diverse tasks such as switching to tags from trackers (greatly helped me having more control over blocking sensitive content) to Handling E2E accounts on DV360, Google ads, Amazon, Facebook and LinkedIn.
I run YT/CTV/PG/Direct deals on DV360 and Amazon(PG/PMP and Product searches/browsing/purchases TG) platforms
As of now in the process of automating monthly accruals for PS and moving to CIVA optimizations on DV 360.
GroupM
Google B2B (NA, APAC and EMEA Regions)- Media Activation Executive
- Media Activation Executive
- Aug 2021 - May 2023 1 yr 10 mos
- Aug 2021 - May 2023 1 yr 10 mos
- Manage E2E Google play account with both (EMEA and APAC regions), understand economics of marketing mix modelling such as economics of programmatic etc.
- Handled $1.3 million worth budget on an average for the quarter for programmatic channel.
- Work on DSPs such as DV360 and google ads extensively.
- Advance optimizations for Even pacing of APAC markets, daily/weekly depending upon performance of tactics/LIs.
- Analysis is done on MoM basis for audience segments and tactics for revenue centric optimizations and suggest advance optimization changes as per performance.
- Utilized DV360, CM360, and Google Ads to execute targeted advertising campaigns across multiple platforms.
- Developed algorithms and leveraged machine learning models to optimize marketing campaigns for maximum ROI.
- Generated insightful reports using Power BI for tracking marketing campaign performance and providing actionable recommendations.
- I am working on enhancing my IQ and EQ, and now I have not only just dipped my toes into the holy waters of TQ, but prepared a dashboard in Power BI for my team for MoM Analysis where I provided a tonne of data solutions that have been provided using DAX and power queries.
- I enabled ML and AI to get actionable Intelligence insights. Adding to that, I know Predictive modeling in R and Python, where I predicted the Budget for the next quarter using a linear regression model (replacing manual forecasting that we do) + I prepped the model for time series analysis to interpret seasonality, cyclicity, and trend components in the data which is insurmountable to do by a human being.
GroupM
Full-time 1 yr 10 mos
Full-time 1 yr 10 mos
Delhi, India Hybrid
Delhi, India Hybrid
Ad Ops Associate, Amazon and other brands (NA region)
Kinesso, IPG, MumbaiAd Ops Associate role entails:-
#DCM Trafficking
#DSP Mapping
#Extracting Reports
#Trafficking DCO in DCM- Dynamic Creative Optimization
#Generating Tags.
#IAS/DV Wrapping
#Pixel Implementation, in DCM as well as in TTD, DV360, Verizon, Adelphic
#nielson in platform
DSPs I work on:- TTD, DV 360, Verizon.
Accounts I work with :-
Amazon, Gallo, Norton Lifelock, Behr, Zillow, Nintendo, Sony, Levi's, Columbia etc
Achievements
- Advance understanding of the economics of digital media. (Quality assurance checks for ads in live environment, Creative QA checks, creating and QA of floodlight tags.
- Deeper understanding of algorithms (Machine learning) running on websites.
- Represented school at DAV National football competition and won second spot in the competition.
- Represented school at DAV National kabaddi competition and won silver medal in the competition.
Testimonial
groupM
GoogleAman worked in my team for over 6 months and it was inspiring to witness his dedication towards learning new projects and taking on new skills. He went out of his way to support his peers and expertly handled the client conflicts. His ability to innovate automation to help steer operations efficiently is a special highlight on his skillset. I would definitely recommend him!
- namrta(manager)
Major Projects
DV360/CM360 Best Practices
HPI helped the team switch to tags to enable faster ad load and implement brand safety measures to block ads by implementing tagless integration via IAS.
I helped the team create automated report for EOC analysis.
I helped the team work with various vendors such as Hotstar, fandom, twitch, NDTV for RB and YT for SOV, Samsung for CTV and Inshorts for RB. I made sure that Everything is on track in terms of pacing and did budget optimization based on even the 1 day performance of various audience segments in PG deals.
I found a way to retarget the audience we gathered from an instant desal via floodlight audience creation.
DV360
GroupMI pitched an automated report across Display side of business and take it to real time in Power BI via API called Windsor API Idea to directors and they liked it and see it fit and pitched it to the client.
DV360/ truview ads in DV
GroupMI along with my team worked and sought any problems that came across for our team for 9 markets we handled which was AU, SG, HK, NZ and some of INSEA markets and made sure campaigns are optimized towards ROAS on Monthly/ biweekly basis for our evergreen app install campaigns.
I handled E2E campaign management, Budget pacing, new tactic launch, new campaign launches, anomaly reports for firebase tests we were running, MOM analysis ETC.
I am quite well versed in below bidding strategies in DV360:-
Maximize performance :-Conversions(requires floodlight), clicks, Installs(app line item only and requires floodlight or firebase)
Maximize brand impact:- viewable impressions, CIVA (Video Line only), Viewable for at least 10 sec (video line).
I also ran YT VAC Gads, VVC in dv360, VAS in DV360, BLS in DV and Instant/PG deals/Roadblocks/SOV
Ad Ops
IPGI Know CM360, Trafficking tags, trackers, DCO, Display redirect, I created floodlights in CM360 and QAed in real time environment.
DCM Trafficking
#DSP Mapping
#Extracting Reports
#Trafficking DCO in DCM- Dynamic Creative Optimization
#Generating Tags.
#IAS/DV Wrapping
#Pixel Implementation, in DCM as well as in TTD, DV360, Verizon, Adelphic
#nielson in platform
Education
PGDM BCom (H)
CBSE Institute Institute of Management studies
Certifications
Google Ads - Display Certification
Google (Apr, 2023)DV360
(Apr, 2023)